System and method for patient monitoring

ABSTRACT

Systems and methods of monitoring a patient. Exemplary methods include receiving sensor data associated with the patient from a plurality of sensors of a patient monitoring device and determining whether the sensor data satisfies one or more trigger conditions. For each of the trigger conditions satisfied, one or more messages are sent to at least one of the patient monitoring device and an external computing device for display thereby to at least one of the patient, a caregiver, and a support person. Satisfaction of one or more of the trigger conditions may indicate the patient has edema and/or is trending toward decompensation. The sensor data may have been collected from a heart rate sensor, an oximeter, an accelerometer, and/or a sensor configured to detect a distance around a limb of a patient. In some embodiments, the trigger conditions are provided by the patient, caregiver, and/or support person.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The present invention is directed generally to devices and methods formonitoring patient health, and more particularly, to methods and systemsfor detecting edema.

2. Description of the Related Art

Monitoring patient parameters is quite common in medical careenvironments, such as hospitals, doctors' offices, and the like.Further, patient monitoring outside of a clinical setting is increasingbecause of the rising cost of traditional healthcare. There is a needfor devices configured to monitor a patient's health. Devices configuredto notify professional healthcare providers when appropriate areparticularly desirable.

A “compensated” system is able to function despite any stressors ordefects that might be present. Decompensation occurs when the system canno longer compensate for these issues. Decompensation is a general termcommonly used in medicine to describe a variety of situations.

Cells are surrounded by an extracellular fluid that includesinterstitial fluid, plasma, and transcellular fluid. The interstitialfluid is found in the interstitial spaces, also known as the tissuespaces. Edema is an abnormal accumulation of fluid in the interstitialspaces that causes swelling.

Edema in the feet and legs is often referred to as peripheral edema.Limb volume changes have sufficient specificity and sensitivity to bepredictive of impending heart failure decompensation in some forms ofheart failure. The physiological conditions that cause an increase ininterstitial fluid in the limbs of a heart failure patient may alsocause decompensation. Therefore, edema may be predictive of congestivechest conditions that can endanger the patient.

There are several traditional methods of measuring or evaluating edema.The most commonly used method is to press a depression into the skin(e.g., of the lower leg) and assign a grade (e.g., on a 1 to 4 scale)indicating an amount of edema present based on the depth and persistenceof the depression. This method provides a coarse but useful measure ofedema.

More accurate methods of measuring or evaluating edema include placingthe patient's limb in a container of water and measuring an amount offluid displaced by the patient's limb. By collecting two or moredisplacement measurements, a change in limb volume, if any, thatoccurred between measurements can be determined. Unfortunately, thismethod is wet, cumbersome, and unsuitable for continuous patientmonitoring and data collection.

A Leg-O-Meter device may be used to measure edema. The Leg-O-Meterdevice includes a tape measure positioned at a predetermined heightabove the floor. The tape measure is used to determine a single distancearound a limb. While results obtained by the Leg-O-Meter device are wellcorrelated with those obtained using the more cumbersome fluiddisplacement method, the Leg-O-Meter device requires a skilledpractitioner to operate and the active involvement of the patient.

Electronic measurement devices also exist that are large, expensive, andfixed making them unsuitable for a home environment. Further, suchdevices typically do not provide methods of communicating with thepatient, a caregiver, or a healthcare provider. These devices also donot typically analyze the data collected.

Quantifying and monitoring peripheral edema is important because theonset of edema and/or changes in an amount of edema present can occurmany days prior to a considerable decline in patient health. In otherwords, the onset of edema and/or changes in an amount of edema presentmay predict (e.g., by several days) a significant decline in a patient'shealth. This predictive indication may be used in some cases to avoid asignificant decline in patient health. For example, such early warningof an impending problem may be used to adjust the patient's diet, saltintake, medications, and the like. Further, consultation with healthcareprofessionals before the decline occurs may avoid precipitous healthdeclines, such as, but not limited to, decompensated heart failure.Therefore, a need exists for methods and systems that providesubstantially continuous monitoring of edema. A need also exists formethods and systems that track a patient's physiological parameters andsymptoms for the purposes of detecting trends and/or recognizingimpending patient health conditions that may require medicalintervention, such as hospitalization.

The present application provides these and other advantages as will beapparent from the following detailed description and accompanyingfigures.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWING(S)

FIG. 1 is a diagram of a system configured to detect edema.

FIG. 2 is a diagram of a control loop implemented by the system of FIG.1.

FIG. 3 is a diagram of an embodiment of the system of FIG. 1.

FIG. 4 is a diagram of an exemplary circuit that may be used toconstruct a device worn on a patient's limb configured to collectpatient data used by a control system to determine a circumference ofthe patient's limb.

FIG. 5 is a flow diagram of a method of collecting patient dataperformed the device worn on a patient's limb.

FIG. 6A is a flow diagram of a method of transmitting the patient datacollected to the control system.

FIG. 6B is a flow diagram of a method performed the device worn on apatient's limb when receiving messages and/or data from the controlsystem.

FIG. 7 is a flow diagram of a method performed by the control systemwhen receiving the patient data from the device worn on a patient'slimb.

FIG. 8A is a flow diagram of a method of constructing a model of thepatient's limb.

FIG. 8B is a flow diagram of a method of analyzing the patient dataperformed by the control system.

FIG. 9 is an illustration of an exemplary optical gradient that may beused to construct the device worn on a patient's limb.

FIG. 10A is an illustration the device positioned on the patient's limbat a location above a minimum circumference of the patient's limbdepicting a strap, optical gradient, and sensors that may be used toconstruct the device.

FIG. 10B is an illustration the device positioned on the patient's limbat the location of the minimum circumference of the patient's limbdepicting the strap, optical gradient, and sensors that may be used toconstruct the device.

FIG. 10C is an illustration the device positioned on the patient's limbat a location below the minimum circumference of the patient's limbdepicting the strap, optical gradient, and sensors that may be used toconstruct the device.

FIG. 11 is a flow diagram of a method of analyzing the patient datareceived from the device worn on a patient's limb performed by thecontrol system.

FIG. 12 is a graph illustrating the patient data a model of thepatient's limb.

FIG. 13 is a perspective view of an embodiment of the device worn on apatient's limb.

FIG. 14 is front view of the device of FIG. 13.

FIG. 15 is an enlarged cross-sectional view of a portion of the devicecross-sectioned along the A-A line of FIG. 13.

FIG. 16 is cross-sectional view of the device cross-sectioned along theA-A line of FIG. 13.

FIG. 17 is an exploded perspective view of the device of FIG. 13.

FIG. 18 is a perspective view of an alternate embodiment of the deviceof FIG. 13.

FIG. 19 is a diagram of a hardware environment and an operatingenvironment in which one or more of the computing devices of the systemof FIG. 1 may be implemented.

DETAILED DESCRIPTION OF THE INVENTION Overview

Referring to FIG. 1, the present application describes a system 200 thatincludes a device 10 worn by a patient 230 that is connected (e.g.,wirelessly) to a control system 220. The control system 220 may beconnected (e.g., wirelessly) to a healthcare system 205, a supportnetwork 210, and the like. The healthcare system 205 includes healthcareprofessionals, physicians, hospitals, pharmacies, and the like. Thesupport network 210 includes the patient's friends, family, as well asothers involved in the patient's care. The patient 230, support network210, and/or the healthcare system 205 may provide reference information215 to the control system 220. The reference information 215 is used tosetup or configure the control system 220. By way of a non-limitingexample, the reference information 215 may include patient information(e.g., age, height, weight), patient diagnosis, message routinginformation, and trigger values. The reference information 215 may alsoinclude instructions (e.g., patient instructions) associated with thetrigger values. Such instructions may include a predetermined prescribedtreatment plan (e.g., instructions to increase a dosage of a diuretic orother medication), instructions to perform a stress test, requests forpatient symptom information, instructions to contact healthcareprofessional, and the like. The reference information 215 may have beenprovided to a website 217 generated by an optional web server 318(illustrated in FIG. 3) and forwarded to the control system 220 by theweb server 318.

The control system 220 may issue messages 225 to the patient 230 thatcould cause a modification in the patient's state 235 (e.g., reduceedema or likelihood of edema). When triggered by trigger values, themessages 225 may include one or more instructions associated with thetrigger values.

The device 10 is configured to be worn on the patient's limb 11continuously or occasionally for periods of time. When worn in thismanner, the device 10 occasionally (e.g., periodically) collects datathat may be processed by the control system 220 to obtain a distancemeasurement around the patient's limb 11. The distance measurement isreferred to herein as a “circumference measurement,” independently ofwhether the portion of the limb whereat the measurement was taken has asubstantially circular cross-sectional shape.

The data collected by the device 10 is sent to the control system 220 ina device message 240. The control system 220 analyzes the data receivedfrom the device 10 to determine a circumference measurement for the limb11. Over time, multiple circumference measurements may be collected andtracked for the purposes of detecting a trend or sudden change in thecircumference of the limb 11. The previously obtained (or historical)circumference measurements may be stored in the reference information215.

A healthcare provider or system 205 may access the control system 220 toreview the circumference measurement(s) to detect potential problemsand/or recommend treatments or changes in treatment. Further, when thecontrol system detects a trend or sudden change in the circumference ofthe limb 11, the control system 220 may send messages to the healthcaresystem 205, the support network 210, the patient 230, and the like. Whentriggered by trigger values, messages sent to the healthcare system 205,the support network 210, the patient 230, and the like may include oneor more instructions associated with the trigger values.

Messages sent to the healthcare system 205, the support network 210,and/or the patient 230 may include SMS cellular telephone messages,recorded voice messages (e.g., including educational information),alerts, alarms, and the like.

Thus, the system 200 provides a means of assessing changes in the sizeof the patient's limb 11, and more particularly the onset of or changesin peripheral edema. The assessment may be conducted remotely by thecontrol system 220 and/or the healthcare system 205. Members of asupport network 210 and/or the healthcare system 205 need not be presentto collect or evaluate the circumference measurement. Instead,circumference measurements may be collected automatically by the device10 and optionally, transferred to the system 200. Circumferencemeasurements may be collected on an ongoing basis over any desiredlength of time.

While peripheral edema is often most pronounced in the lower leg,interstitial swelling is also generally present to a lesser degree inother parts of the body. Therefore, peripheral edema may be measured inother parts of the body. For ease of illustration, the device 10 isdescribed below and illustrated as being worn on a lower portion of apatient's leg near the ankle. However, the device 10 may also be worn ona different portion of a patient's leg (e.g., near the knee, thigh, andthe like), a portion of a patient's arm (e.g., on or near the wrist, onthe forearm, above the elbow, and the like), a portion of a patient'sfoot (e.g., on a toe), a portion of a patient's hand (e.g., on afinger), and the like. In other words, the device 10 is not limited tobeing worn on any particular portion of the body.

The system 200 may be conceptualized as a continually readjusting systemthat seeks a stable desired condition (e.g., an absence of edema). Thesystem 200 may implement a control loop 100 illustrated in FIG. 2. Inthe control loop 100, reference information “R” is provided and comparedwith feedback information “F.” With respect to the system 200, thereference information “R” may be the reference information 215 providedto the control system 220, and the feedback information “F” may be thedevice messages 240 transmitted by the device 10.

The difference between the reference information “R” and the feedbackinformation “F” is an error “E.” The error “E” is input into acontroller 115. In system 200, the error “E” is calculated by thecontrol system 220. The controller 115 in turn issues commands “U”(e.g., the messages 225) that are used to affect the state of thepatient 230. In the system 200, the control system 220 may issuemessages 225 to the patient 230, the support network 210, and/or thehealthcare system 205. This is reflected in a current state “Y.” In FIG.1, the patient's current state is labeled with reference numeral 235.The current state “Y” provides the feedback information “F” that iscompared to the reference information “R.” In other words, the patient'sstate 235 provides the device messages 240 (with data used to obtain thecircumference measurement) that are compared to the referenceinformation 215 (e.g., previously obtained circumference measurements).Based on the results of this comparison, one or more messages 225 may besent to the patient 230, the support network 210, and/or the healthcaresystem 205 to modify the patient's state 235.

System 300

FIG. 3 illustrates a system 300, which is an exemplary implementation ofthe system 200 (see FIG. 1). Turning to FIG. 3, the control system 220includes a database server 370. The reference information 215 (seeFIG. 1) is stored in a database server 370. The reference information215 may be received by the database server 370 during an initial setupprocess as well as on an ongoing basis. The system 300 may include theoptional web server 318 configured to generate the website 217 (seeFIG. 1) to which the reference information 215 may be provided andtransferred to the database server 370 (e.g., over the Internet 340 orother network). The database server 370 may also store pertinent dataabout the patient 230 (such as patient history, a patient record, andthe like), trigger event levels (discussed below), and addresses towhich messages (e.g., notifications, alerts, and the like) are to besent.

Feedback information (e.g., the device message 240 illustrated inFIG. 1) most often originates from the patient 230 and/or the device 10.This feedback information can travel several alternate paths dependingupon the implementation details. For example, the feedback informationmay be input into a computing device (e.g., a patient desktop computer335, a patient cellular telephone 350, a patient portable computer 355,and the like) connected to the database server 370 (or the web server318) via the Internet 340. The device 10 may communicate with thecomputing device via a wired or wireless communication link (e.g., acommunication link 352). Over a wireless communication link, the device10 may communicate with the computing device using SMS messages, WIFIprotocols, Bluetooth protocols, and the like. The computing device maytransfer the feedback information to the database server 370. The device10 may communicate the device messages 240 to the computing device fortransmission thereby to the database server 370.

In the embodiment illustrated, the patient desktop computer 335 isconnected to the Internet 340 via a conventional wired connection.

In the embodiment illustrated, the patient cellular telephone 350 andthe patient portable computer 355 are connected to the Internet 340 byan Internet gateway device 365 (e.g., a modem). The patient cellulartelephone 350 and the patient portable computer 355 may communicate withthe Internet gateway device 365 using WIFI protocols, Bluetoothprotocols, and the like.

By way of a non-limiting example, the feedback information may betransmitted by the device 10 via a radio link (e.g., the radio link 352)to the patient desktop computer 335, the patient cellular telephone 350,the patient portable computer 355, and the like. By way of anothernon-limiting example, the feedback information may be transmitted by thedevice 10 directly to the Internet gateway device 365.

The feedback information is received by the database server 370. In theembodiment illustrated, the database server 370 implements the controlsystem 220 (see FIG. 1) that compares the current state 235 of thepatient 230 and the reference information 215 (which may includepreviously received feedback information).

One or more messages 225 to be reviewed by the patient 230 may betransmitted by the database server 370 to the device 10, the patientdesktop computer 335, the patient cellular telephone 350, the patientportable computer 355, and the like. By way of a non-limiting example,such messages may be displayed on the website 217 (see FIG. 2) generatedby the web server 318. In such embodiments, the database server 370 isconfigured to instruct the web server 318 to display messages on thewebsite 217. The patient desktop computer 335, the patient cellulartelephone 350, and/or the patient portable computer 355 may connect tothe web server 318 over the Internet and display the website 217 using aconventional web browser application.

The support network 210 may include one or more computing devices (e.g.,a support computing device 310) connected to the database server 370 viathe Internet 340. One or more messages to be reviewed by a supportperson 330 may be transmitted by the database server 370 to thecomputing device 310. By way of a non-limiting example, such messagesmay be displayed on the website 217 (see FIG. 2) generated by the webserver 318. In the embodiment illustrated, the computing device 310 isconnected to the Internet 340 via a wireless communication link 312 witha cellular telephone network 314. The computing device 310 may connectto the web server 318 over the Internet and display the website 217using a conventional web browser application. Some patients may rely onhelp from the support network 210 while others may have no such support.

The healthcare system 205 may include one or more computing devices(e.g., a caregiver computing device 315) connected to the databaseserver 370 via the Internet 340. One or more messages to be reviewed bya caregiver 332 may be transmitted by the database server 370 to thecomputing device 315. By way of a non-limiting example, such messagesmay be displayed on the website 217 (see FIG. 2) generated by the webserver 318. In the embodiment illustrated, the computing device 315 isconnected to the Internet 340 via a wired communication link 316. Thecomputing device 315 may connect to the web server 318 over the Internetand display the website 217 using a conventional web browserapplication.

A diagram of hardware and an operating environment in conjunction withwhich implementations of the database server 370, the patient desktopcomputer 335, the patient cellular telephone 350, the patient portablecomputer 355, the support computing device 310, the caregiver computingdevice 315, and the web server 318 may be practiced is provided in FIG.19 and described below.

Circuit 400

FIG. 4 is a block diagram illustrating electrical components of thedevice 10. The electrical components of the device 10 includes a circuit400, which includes an accelerometer 405, a memory 410, an antenna 425,a radio 430, a processor 435 (e.g., a CPU), an analog to digital (“A toD”) converter 440, a voltage regulator 445, and sensors 450, 455, and460. Optionally, the circuit 400 may include an oximeter 420 and/or aheart rate sensor 415. Optionally, the circuit 400 may include acapacitive sensor 1530 (see FIG. 15) configured to detect the presenceof the limb 11.

The sensors 450, 455, and 460 each emit and detect radiation (e.g.,infrared light). The sensor 450 includes an emitter “E1” configured toemit radiation in response to a command received from the processor 435,and a detector “D1” configured to detect radiation of the type emittedby the emitter “E1.” The sensor 450 is configured to generate an analogsignal indicating how much radiation has been detected by the detector“D1” and transmit the analog signal to the A to D converter 440. Thedetector “D1” may be configured to detect radiation in response to acommand received from the processor 435. The sensor 455 includes anemitter “E2” configured to emit radiation in response to a commandreceived from the processor 435, and a detector “D2” configured todetect radiation of the type emitted by the emitter “E2.” The detector“D2” may be configured to detect radiation in response to a commandreceived from the processor 435. The sensor 455 is configured togenerate an analog signal indicating how much radiation has beendetected by the detector “D2” and transmit the analog signal to the A toD converter 440. The sensor 460 includes an emitter “E3” configured toemit radiation in response to a command received from the processor 435,and a detector “D3” configured to detect radiation of the type emittedby the emitter “E3.” The detector “D3” may be configured to detectradiation in response to a command received from the processor 435. Thesensor 460 is configured to generate an analog signal indicating howmuch radiation has been detected by the detector “D3” and transmit theanalog signal to the A to D converter 440.

The A to D converter 440 is configured to digitize the analog signalsreceived from the sensors 450, 455, and 460 to produce digital signals.The digital signals are then communicated to the processor 435. Theprocessor 435 may store the digital signals as data in the memory 410and/or transmit the digital signals via the radio 430 and antenna 425 toan external device (e.g., with reference to FIG. 3, the patient desktopcomputer 335, the patient cellular telephone 350, the patient portablecomputer 355, the Internet gateway device 365, and the like). By way ofa non-limiting example, the radio 430 may operate at 2.4 GHz and utilizeBluetooth protocol, Bluetooth Low Energy protocol, ZigBee protocol, ANTprotocol, and the like. The external device may then transmit thedigital signals to the database server 370 (see FIG. 3) via the Internet340 (see FIG. 3).

The processor 435 may send instructions to the voltage regulator 445 toturn off a section of the circuit 400 including the sensors 450, 455,and 460, the A to D converter 440, the optional oximeter 420, and theoptional heart rate sensor 415 to save power. Further, the processor 435may send instructions to the voltage regulator 445 to turn on thesection of the circuit including the sensors 450, 455, and 460, the A toD converter 440, the optional oximeter 420, and the optional heart ratesensor 415.

By way of a non-limiting example, the processor 435 may sendinstructions to the voltage regulator 445 to turn off the section of thecircuit 400 when the capacitive sensor 1530 (see FIG. 15) does notdetect the presence of the limb 11. Further, the processor 435 may sendinstructions to the voltage regulator 445 to turn on the section of thecircuit 400 when the capacitive sensor 1530 (see FIG. 15) detects thepresence of the limb 11. The capacitive sensor 1530 may be configured togenerate an analog signal indicating the presence (or absence) of thelimb 11 and transmit the analog signal to the A to D converter 440. TheA to D converter 440 is configured to digitize the analog signalreceived from the capacitive sensor 1530 to produce a digital signalthat is communicated to the processor 435. The processor 435 analyzesthe digital signal and determines whether the capacitive sensor 1530detected the presence of the limb 11.

The circuit 400 may be connected to a battery 1620 (see FIG. 17) andpowered thereby. Error can be introduced by drift in battery voltageover time. This issue may be addressed by the voltage regulator 445,which may be configured to provide a substantially stable voltage to theemitters “E1,” “E2,” and “E3” and detectors “D1,” “D2,” and “D3.”Further, the regulated voltage provided by the voltage regulator 445 maybe used by the A to D converter 440 as a reference voltage to gage andscale the voltages received from the detectors “D1,” “D2,” and “D3” whenconverting the voltages from analog signals to digital signals.

While in the embodiment illustrated, the circuit 400 is powered by abattery 1620, another portable power source may used, such as a fuelcell, storage capacitor, energy harvested from the patient 230, energyharvested from the environment, and the like.

The accelerometer 405 may be implemented as a three-axis accelerometerconfigured to detect a direction of the acceleration of gravity (orgravitation force). The accelerometer 405 generates a digital signalencoding this information and communicates the signal to the processor435. The processor 435 may store the digital signal as deviceorientation data in the memory 410 and/or transmit the digital signal(or the stored device orientation data) via the radio 430 and antenna425 to an external device (e.g., with reference to FIG. 3, the patientdesktop computer 335, the patient cellular telephone 350, the patientportable computer 355, the Internet gateway device 365, and the like).The external device may transmit the digital signal (or the deviceorientation data) to the database server 370 (see FIG. 3) via theInternet 340 (see FIG. 3). In embodiments in which the deviceorientation data is stored in the memory 410, the device orientationdata may be deleted from the memory 410 after the device orientationdata is transmitted to the database server 370.

The accelerometer 405 may also detect patient motion, which may be usedby the control system 220 (see FIG. 2) to determine a level of activityof the patient 230. The accelerometer 405 generates a digital signalencoding patient motion information and communicates the signal to theprocessor 435. The processor 435 may store the digital signal as patientmotion information (e.g., in an activity log) in the memory 410 and/ortransmit the digital signal (or the stored patient motion information)via the radio 430 and antenna 425 to an external device (e.g., withreference to FIG. 3, the patient desktop computer 335, the patientcellular telephone 350, the patient portable computer 355, the Internetgateway device 365, and the like). The external device may transmit thedigital signal (or the patient motion information) to the databaseserver 370 (see FIG. 3) via the Internet 340 (see FIG. 3). Inembodiments in which the patient motion information is stored in thememory 410, the patient motion information may be deleted from thememory 410 after the patient motion information is transmitted to thedatabase server 370.

The optional heart rate sensor 415 senses the heart rate of the patient230 and generates an analog heart rate signal encoding this information.The analog heart rate signal is transmitted to the A to D converter 440,which converts the analog heart rate signal to a digital heart ratesignal and transmits the digital heart rate signal to the processor 435.The processor 435 may store the digital signal as heart rate informationin the memory 410 and/or transmit the digital signal (or the storedheart rate information) via the radio 430 and antenna 425 to an externaldevice (e.g., with reference to FIG. 3, the patient desktop computer335, the patient cellular telephone 350, the patient portable computer355, the Internet gateway device 365, and the like). The external devicemay transmit the digital signal (or the heart rate information) to thedatabase server 370 (see FIG. 3) via the Internet 340 (see FIG. 3). Inembodiments in which the heart rate information is stored in the memory410, the heart rate information may be deleted from the memory 410 afterthe heart rate information is transmitted to the database server 370.

The optional oximeter 420 may be implemented as a SpO2 emitter detectorcircuit. The optional oximeter 420 senses the blood oxygen of thepatient 230 and generates an analog blood oxygen signal encoding thisinformation. The analog blood oxygen signal is transmitted to the A to Dconverter, which converts the analog blood oxygen signal to a digitalblood oxygen signal and transmits the digital blood oxygen signal to theprocessor 435. The processor 435 may store the digital signal as oxygeninformation in the memory 410 and/or transmit the digital signal (or thestored oxygen information) via the radio 430 and antenna 425 to anexternal device (e.g., with reference to FIG. 3, the patient desktopcomputer 335, the patient cellular telephone 350, the patient portablecomputer 355, the Internet gateway device 365, and the like). Theexternal device may transmit the digital signal (or the oxygeninformation) to the database server 370 (see FIG. 3) via the Internet340 (see FIG. 3). In embodiments in which the oxygen information isstored in the memory 410, the oxygen information may be deleted from thememory 410 after the oxygen information is transmitted to the databaseserver 370.

The capacitive sensor 1530 (see FIG. 15) senses whether the limb 11 ispresent and generates an analog or digital signal encoding thisinformation. The signal is transmitted to the processor 435 (optionallyvia the A to D converter for conversion from an analog signal to adigital signal, if necessary). The processor 435 is configured to placethe device 10 in a sleep mode if the signal indicates the limb 11 is notpresent and to maintain the device 10 in the sleep mode until the signalindicates the limb 11 is detected.

Methods

FIG. 5 is a flow diagram of a method 500 performed by the processor 435.The method collects data using the sensor 450, 455, and 460 that issubsequently used by the control system 220 to obtain a circumferencemeasurement. When the method 500 begins, the processor 435 is in a waitstate.

In block 505, the processor 435 determines a predetermined measurementinterval has lapsed since data was last collected by the device 10. Atthis point, the processor 435 may turn on the voltage regulator 440 toallow it to stabilize. As mentioned above, the voltage regulator 440 maybe used to power the detectors “D1,” “D2,” and “D3” and the emitters“E1,” “E2,” and “E3.” The voltage regulator 440 may also power theoptional oximeter 420 and/or the optional heart rate sensor 415. Thus,turning on the voltage regulator 440 may also turn on the optionaloximeter 420 and/or the optional heart rate sensor 415.

Then, in block 515, the processor 435 turns on the detectors “D1,” “D2,”and “D3” of the sensors 450, 455, and 460, respectively, while, theemitters “E1,” “E2,” and “E3” remain unlit (i.e., not emittingradiation). The detectors “D1,” “D2,” and “D3” each sense an amount ofradiation and generate an “unlit” analog signal indicating the amount ofradiation detected when the emitters “E1,” “E2,” and “E3” are unlit.Thus, an amount of ambient or background radiation may be detected andused to correct subsequent measurements.

In block 520, the A to D converter 440 receives the “unlit” analogsignals from the detectors “D1,” “D2,” and “D3,” digitizes the “unlit”analog signals to produce “unlit” digital signals, and transmits the“unlit” digital signals to the processor 435 for processing.

In block 530, the processor 435 processes the “unlit” digital signals.As is apparent to those of ordinary skill in the art, variation inemitter efficiency and detector sensitivity caused by manufacturingtolerances and position variation may be addressed by calibrating thecircuit 400 (see FIG. 4). For example, the circuit 400 may be calibratedinitially against a gold standard reflective surface and differencesbetween the voltages received from the detectors “D1,” “D2,” and “D3” ofthe sensors 450, 455, and 460 stored and used as calibration data. Inblock 530, the processor 435 may adjust the “unlit” digital signalsusing the calibration data. For example, the calibration data may besubtracted from the “unlit” digital signals to equalize the differentialefficiencies of emitter/detector pairs of the sensors 450, 455, and 460.

In block 525, the processor 400 may store the “unlit” digital signalsand/or the processed “unlit” digital signals in the memory 410 as“unlit” data.

Then, in block 535, the processor 435 turns on both the emitters “E1,”“E2,” and “E3” and the detectors “D1,” “D2,” and “D3” simultaneously.

The detectors “D1,” “D2,” and “D3” each sense an amount of radiation andgenerate a “lit” analog signal indicating the amount of radiationdetected when the emitters “E1,” “E2,” and “E3” are lit.

In block 540, the A to D converter 540 receives the “lit” analog signalsfrom the detectors “D1,” “D2,” and “D3,” digitizes the “lit” analogsignals to produce “lit” digital signals, and transmits the “lit”digital signals to the processor 435 for processing.

In block 545, the processor 435 processes the “lit” digital signals. Inblock 530, the processor 435 may adjust the “lit” digital signals usingthe calibration data. For example, the calibration data may besubtracted from the “lit” digital signals to equalize the differentialefficiencies of emitter/detector pairs of the sensors 450, 455, and 460.

In block 550, the processor 435 stores the “lit” digital signals and/orthe processed “lit” digital signals in the memory 410 as “lit” data.

In block 555, the processor 435 generates calculated values for each ofthe “lit” digital signals. The calculated values may be determined bysubtracting the “unlit” digital signals from the “lit” digital signals.Thus, the calculated values reflect an amount of radiation emitted bythe emitters “E1,” “E2,” and “E3” and subsequently detected by thedetectors “D1,” “D2,” and “D3.” Further, the calculated values include avalue for each of the sensors 450, 455, and 460.

In decision block 565, the processor 435 evaluates read quality. Readquality may be determined by comparing the calculated values obtainedfrom the detectors “D1” and “D3” with a predetermined “normal” range. Ifthe calculated values are outside the predetermined “normal” range, theprocessor 435 determines a bad read has occurred. Otherwise, if thecalculated values are inside the predetermined “normal” range, theprocessor 435 determines a good read has occurred.

Optionally, in decision block 565, the calculated values obtained fromthe detectors “D1” and “D3” may be compared to one another to determinewhether the values differ from one another by less than a predeterminedminimum amount or more than a predetermined maximum amount. If thecalculated values differ from one another by less than the predeterminedminimum amount or more than the predetermined maximum amount, theprocessor 435 determines a bad read has occurred. Otherwise, if thecalculated values differ from one another by at least the predeterminedminimum amount and no more than the predetermined maximum amount, theprocessor 435 determines a good read has occurred.

As will be explained below, when the device 10 is properly positioned onthe limb 11 of the patient 230, the calculated value for the detector“D2” is within a predetermined range because the detector “D2” isadjacent a solid portion “GS” (see FIG. 9) of an optical gradient 1545(see FIG. 9) having a substantially constant reflectivity. If thecalculated value for the detector “D2” is not within the predeterminedrange, the processor 435 determines a bad read has occurred. On theother hand, if the calculated value for the detector “D2” is within thepredetermined range, the processor 435 determines a good read hasoccurred.

The decision in decision block 565 is “YES,” when a “bad” read hasoccurred. On the other hand, the decision in decision block 565 is “NO,”when an acceptable read has occurred.

When the decision in decision block 565 is “NO,” in block 570, theprocessor 435 stores the calculated values in the memory 410.

In block 580, the processor 435 obtains one or more accelerometer valuesfrom the accelerometer 405 and stores the accelerometer value(s) in thememory 410. The accelerometer value(s) may include an activity log thatincludes information about patient activity levels. In block 580, theprocessor 435 may also obtain data from the oximeter 420 and/or theheart rate sensor 415 and store that data in the memory 410.

Then, in block 585, the processor 435 returns to the wait state and themethod 500 terminates.

When the decision in decision block 565 is “YES,” in block 575, theprocessor 435 stores a bad read count in the memory 410 and returns toblock 515. In block 575, the processor 435 may also evaluate the numberof bad reads stored and set an error flag, if required.

Then, in block 585, the processor 435 returns to the wait state and themethod 500 terminates.

FIG. 6A is a flow diagram of a method 600 of transferring data from thedevice 10 to the control system 220.

When the method 600 begins, the processor 435 is in the wait state. Inblock 605, the processor 435 determines a predetermined transmissioninterval has lapsed since a transmission was last sent by the device 10to an external device (e.g., e.g., the patient desktop computer 335, thepatient cellular telephone 350, the patient portable computer 355, theInternet gateway device 365, and the like). As discussed above, theexternal device is configured to transfer the data sent to it by thedevice 10 to the control system 220.

In block 615, the processor 435 retrieves the calculated values, theaccelerometer value(s), and optionally the data obtained from theoximeter 420 and/or the heart rate sensor 415 stored in the memory 410(see FIG. 4) in blocks 570 and 580 of the method 500 (see FIG. 5). Inblock 620, the information retrieved is formatted for transmission(e.g., placed in transmission packets) and subsequently transferred tothe external device in block 630.

In decision block 635, the processor 435 determines whether a transferconfirmation has been received from the external device. The decision indecision block 635 is “YES” when the device 10 has received a transferconfirmation from the external device in response to the transmissionsent in block 630. Otherwise, the decision in decision block 635 is “NO”when the device 10 has not received a transfer confirmation from theexternal device in response to the transmission sent in block 630.Optionally, even if a transfer confirmation is received, the decision indecision block 635 may nevertheless be “NO,” if the processor 435determines that a problem occurred when the calculated values weretransmitted in block 630.

When the decision in decision block 635 is “YES,” the method 600terminates.

When the decision in decision block 635 is “NO,” in block 640, theprocessor 435 stores bad send data in the memory 410 for analysis. Then,the processor 435 returns to block 615.

FIG. 6B is a flow diagram of a method 650 performed by the processor435. The method 650 is performed when the device 10 receives data fromthe control system 220. The device 10 may receive data from the controlsystem 220 following the successful transfer of data (e.g., thecalculated values, the accelerometer value(s), and optionally the dataobtained from the oximeter 420 and/or the heart rate sensor 415) to thecontrol system 220.

In first block 652, the processor 435 waits to receive a transmissionfrom the control system 220.

In block 655, the device 10 receives data, such as a setting value,constant value, and the like, from the control system 220.

In block 660, the processor 435 determines whether a problem occurredwhen the data was received from the control system 220. For example, iftoo much time has elapsed since data was last received from the controlsystem 220, the processor 435 may determine a problem occurred. Thedecision in decision block 660 is “YES,” when the processor 435determines a problem has occurred. On the other hand, the decision indecision block 660 is “NO,” when the processor 435 determines a problemhas not occurred.

When the decision in decision block 660 is “YES,” in block 665, theprocessor 435 stores data related to the problem (e.g., increments a badreceive count value). Then, the processor 435 returns to block 652 towait for additional transmissions from the control system 220. By way ofan example, the control system 220 may retransmit data to the device 10if the control system 220 determines the data was not received by thedevice.

When the decision in decision block 660 is “NO,” in optional block 670,the processor 435 may send a receipt confirmation to the control system220 confirming the data was received. Then, in block 680, the device 10stores the data received and the method 650 terminates.

FIG. 7 is a flow diagram of a method 700 of receiving the calculatedvalues at the control system 200. By way of a non-limiting example, themethod 700 will be described as being performed by the database server370 (see FIG. 3).

In first block 705, the database server 370 waits to receive atransmission from the device 10 (via one of the external devices). Indecision block 707, the database server 370 determines whether it hasbeen waiting too long (e.g., longer than a predetermined amount of time)indicating there may be a problem with the device 10 or, in embodimentsof the device 10 configured to communicate wirelessly, that the device10 was positioned outside a radio coverage area. The decision indecision block 707 is “YES” when the database server 370 has beenwaiting too long for a transmission from the device 10. On the otherhand, the decision in decision block 707 is “NO” when the databaseserver 370 has not been waiting too long for a transmission from thedevice 10.

When the decision in decision block 707 is “NO,” the database server 370continues to wait and in block 710, receives the transmission (includingthe calculated values, accelerometer value(s), and optionally the dataobtained from the oximeter 420 and/or the heart rate sensor 415) fromthe device 10.

In decision block 715, the database server 370 determines whether aproblem occurred when the calculated values, accelerometer value(s), andoptionally the data obtained from the oximeter 420 and/or the heart ratesensor 415 were received from the device 10. For example, the calculatedvalue for the detector “D1” may be compared to a valid range stored inthe database server 370. If the calculated value for the detector “D1”is outside the valid range, the database server 370 may determine aproblem occurred. The decision in decision block 715 is “YES,” when thedatabase server 370 determines a problem has occurred. On the otherhand, the decision in decision block 715 is “NO,” when the databaseserver 370 determines a problem has not occurred.

When the decision in decision block 715 is “YES,” in block 720, thedatabase server 370 stores data related to the problem (e.g., incrementsa bad receive count value). Then, the database server 370 returns toblock 705 to wait for additional transmissions from the device 10. Byway of an example, the device 10 may retransmit data to the controlsystem 220 if the device 10 determines the formatted data was notreceived by the control system.

When the decision in decision block 715 is “NO,” in optional block 730,the database server 370 may send a receipt confirmation to the device 10confirming the calculated values, accelerometer value(s), and optionallythe data obtained from the oximeter 420 and/or the heart rate sensor 415were received. In block 740, the database server 370 stores thecalculated values, accelerometer value(s), and optionally the dataobtained from the oximeter 420 and/or the heart rate sensor 415received. Then, the method 700 terminates. The calculated values,accelerometer value(s), and optionally the data obtained from theoximeter 420 and/or the heart rate sensor 415 may be stored in a patientrecord associated with the device 10. By way of a non-limiting example,the transmission received by the control system 220 may include a deviceidentifier associated with the device 10 that may be used to identifythe patient record associated with the device.

When the decision in decision block 707 is “YES,” the database server370 has been waiting too long for a transmission from the device 10 andin block 742, sends a notification indicating a problem has occurred tothe device 10, the patient desktop computer 335, the patient cellulartelephone 350, and/or the patient portable computer 355 to be reviewedby the patient 230. In optional block 745, the database server 370 maysend a notification to the support network 210 and/or the healthcaresystem 205 indicating a problem has occurred. Then, the method 700terminates.

Referring to FIGS. 13 and 17, as will be explained in greater detailbelow, the device 10 includes a flexible but inelastic strap 1310 havinga first end portion 1312 opposite a second end portion 1314. An opticalgradient 1545 is coupled to the first end portion 1312. An electronicsenclosure 1335 is coupled to the second end portion 1314 by a guideportion 1315 of a frame member 1337 positioned about the periphery ofthe electronics enclosure 1335.

The electronics enclosure 1335 includes a sensor portion 1515. Theemitter “E1” and detector “D1” of the sensor 450, the emitter “E2” anddetector “D2” of the sensor 455, and the emitter “E3” and detector “D3”of the sensor 460 are positioned on the sensor portion 1515 of theelectronics enclosure 1335.

The first end portion 1312 is coupled to the electronics enclosure 1335by a tensioning member 1320. When the first end portion 1312 is coupledto the electronics enclosure 1335, the sensor portion 1515 extends underthe first end portion 1312 of the strap 1310 and the emitters “E1,”“E2,” and “E3” and detectors “D1,” “D2,” and “D3” face toward theoptical gradient 1545 coupled to the first end portion 1312 of the strap1310.

The tensioning member 1320 is elastic and may be stretched toaccommodate the patient's limb 11. Referring to FIG. 10B, when the strap1310 is wrapped snuggly around a cylinder, edges 1316 and 1318 the firstand second end portions 1312 and 1314, respectively, will besubstantially parallel with one another. However, when the strap 1310 iswrapped snuggly about a tapered object (e.g., a wrist, an ankle, and thelike), the strap 1310 will follow the tapered surface of the object andthe edges 1316 and 1318 the first and second end portions 1312 and 1314,respectively, will not be substantially parallel with one another. Inother words, an angle “θ” is defined between the edges 1316 and 1318when the strap 1310 is wrapped snuggly about a tapered object (e.g., awrist, an ankle, and the like).

As mentioned above, the sensors 450, 455, and 460 are adjacent theoptical gradient 1545. The sensors 450, 455, and 460 are positioned suchthat light emitted by the emitters “E1,” “E2,” and “E3” is reflected bythe optical gradient and detected by the detectors “D1,” “D2,” and “D3,”respectively. Referring to FIG. 9, the exemplary optical gradient 1545illustrated includes a first gradient portion “G1,” a second gradientportion “G2,” and a solid portion “GS” positioned between the first andsecond gradient portions. In the embodiment illustrated, reflectivity ofthe first and second gradient portions “G1” and “G2” changes linearlyalong a gradient direction (indicated by an arrow “GD”). However,reflectivity of the solid portion “GS” does not change along thegradient direction (indicated by an arrow “GD”). In the embodimentillustrated, the reflectivity of the first and second gradient portions“G1” and “G2” is greater toward the right hand side than toward the lefthand side of FIG. 9. Further, the first and second gradient portions“G1” and “G2” are aligned along a transverse direction (indicated by anarrow “TD”) such that along the transverse direction the reflectivity ofthe first gradient portion “G1” is substantially identical to thereflectivity of the second gradient portion “G2.” Thus, for eachlocation along the gradient direction (indicated by an arrow “GD”), thefirst gradient portion “G1” has a reflectivity substantially identical(or corresponding) to the reflectivity of the second gradient portion“G2.”

The sensor 450 is positioned adjacent to the first gradient portion“G1,” the sensor 455 is positioned adjacent to the solid portion “GS,”and the sensor 460 is positioned adjacent to the second gradient portion“G2.” Thus, the calculated value for sensor 455 should not vary based onthe positioning of the sensor 455 relative to the solid portion “GS”along the gradient direction (indicated by the arrow “GD”). However, thecalculated values for the sensors 450 and 460 will vary based on thepositioning of the sensors 450 and 460 relative to the first and secondgradient portions “G1” and “G2,” respectively, along the gradientdirection (indicated by the arrow “GD”). As will be explained in moredetail below, the calculated value for the sensor 455 may be used toverify the alignment of the sensors 450, 455, and 460 with the opticalgradient 1545, and the calculated values for the sensors 450 and 460 maybe used to determine the position of the device 10 on the patient's limb11 and a circumference measurement of the patient's limb.

FIG. 8A is a flow diagram of a method 750 of creating a model of thepatient's limb 11 for use by a method 800 describe below and illustratedin FIG. 8B. The method 750 may be performed by the device 10, thecontrol system 220, and/or a combination thereof. The model correlatespositions along the longitudinal axis of the limb 11 with a measure ofthe distance around the limb 11. The calculated values received by thedatabase server 370 indicate how much radiation was detected by thedetectors “D1,” “D2,” and “D3.” As explained above, the amount ofradiation detected by the detectors “D1,” “D2,” and “D3” varies based onwhere the detectors are positioned relative to the optical gradient 1545(see FIG. 9). Where the detectors “D1,” “D2,” and “D3” are positionedrelative to the optical gradient 1545 varies with the distance aroundthe patient's limb 11 (or the limb's circumference) in the location onthe limb whereat the device 10 is positioned. Therefore, the calculatedvalues may be used as the measure the distance around the patient's limb11 in the model. In such embodiments, the database server 370 maydetermine changes in the distance around the patient's limb 11 using thecalculated values without actually determining the distance around thepatient's limb 11. Alternatively, the calculated values (which measurean amount of radiation) may be used to obtain distance measurements. Insuch embodiments, the distance measurements obtained from the calculatedvalues may be used as the measure the distance around the patient's limb11 in the model. By way of a non-limiting example, the calculated valuesmay be converted into distance measurements by correlating the amount ofradiation detected with a circumference measurement.

For ease of illustration, the distance measurements (or circumferencemeasurements) obtained from the calculated values will be described asbeing the measure the distance around the patient's limb 11 used in themodel. However, this is not a requirement and embodiments in which adifferent measure of the circumference of the limb 11 is used togenerate the model are also within the scope of the present teachings.

FIG. 12 is a graph in which the x-axis corresponds to the longitudinalaxis of the limb 11 and the y-axis corresponds to the distance aroundthe around the patient's limb 11. The limb 11 (see FIG. 1) may bemodeled as a three-dimensional surface (e.g., a hyperboloid of onesheet) that is symmetric about a longitudinally axis (e.g., the x-axis).Such a model may be created by rotating a contoured line (e.g., a solidcontoured line “L1”) spaced apart from and extending along thelongitudinally axis about the longitudinally axis. In FIG. 12, a dashedline “L2” illustrates the contoured line “D” rotated about the x-axis.The area between the contoured line “D” and the dashed line “L2”represents a cross-sectional area (through the longitudinal axis) of aportion of the limb 11.

The contoured line “L1” models the circumference of the limb 11 at arange of locations along the longitudinal axis of the limb. Thecontoured line “L1” may be defined by a predefined mathematical equationand one or more circumference measurements (illustrated as points “A1”to “A8”) collected from the patient's limb 11. The predefinedmathematical equation may be fit to the patient's limb 11 using the oneor more circumference measurements (illustrated as points “A1” to “A8”)collected from the limb 11. In other words, curve fitting techniques maybe used to derive the contoured line “L1” by modifying a mathematicalequation based on circumference measurements collected from the limb 11.

In FIG. 12, the contoured line “L1” used to model the patient's limb 11is a parabola. In FIG. 12, a minimum circumference “MC-1” of the modelof the limb 11 is positioned on the y-axis above an intersection of thex-axis and the y-axis. For ease of illustration, in FIG. 12, theright-hand side of the x-axis is extending toward an extremity (e.g., ahand or a foot) and the left-hand side of the x-axis is extending awayfrom the extremity. At the wrist, the arm typically narrows (or has asmaller circumference). Similarly, at the ankle, the leg typicallynarrows (or has a smaller circumference). Therefore, the minimumcircumference “MC-1” may be used as the circumference measurement of thelimb 11.

Turning to FIG. 8A, in first block 760, circumference measurements(e.g., those illustrated as points “A1” to “A8”) are collected from thepatient's limb 11. In block 760, a setup operation may be performed bythe patient 230, the support person 330, the caregiver 332, acombination thereof, and the like, in which the device 10 is positionedat different locations along the patient's limb 11. At each location,the device 10 is used to capture at least one circumference measurement.During the setup operation, the device 10 may be positioned inpredetermined locations so the control system 220 can readily correlateeach of the circumference measurements with a position on the patient'slimb 11. The patient 230, the support person 330, and/or the caregiver332 may inform (e.g., via the website 217) the control system 220 thatthe setup operation is being performed. Alternatively, the controlsystem 220 may instruct the patient 230, the support person 330, and/orthe caregiver 332 to perform the setup operation (e.g., via the website217).

During the setup operation the method 500 illustrated in FIG. 5 may beused to collect calculated values for each location in which the device10 is positioned. When collecting calculated values, in block 505, themethod 500 uses the predetermined measurement interval. However, duringthe setup operation, a different interval (e.g., a shorter interval) maybe used in block 505. Further, the device 10 may include an indicator(not shown) that may indicate when calculated values have been collectedfor a particular location so that the person positioning the device onthe limb 10 may reposition the device 10 in a next position. Theindicator (not shown) may include a speaker, a light, and the like. Insuch embodiments, the device 10 may produce a sound and/or illuminate alight each time the method 500 terminates during the performance of thesetup operation. Alternatively, the device 10 may include a manuallyoperable switch (e.g., a button) that the person positioning the device10 may activate to indicate the device has been repositioned and themethod 500 should be performed by the processor 435 (see FIG. 4).

The method 600 (see FIG. 6) is performed one or more times by theprocessor 435 (see FIG. 4) to transfer the calculated values obtainedduring the setup operation to the database server 370 (see FIG. 3). Themethod 700 (see FIG. 7) is performed one or more times by the databaseserver 370 (see FIG. 3) to receive the calculated values obtained duringthe setup operation from the processor 435 (see FIG. 4).

After the database server 370 (see FIG. 3) has received the calculatedvalues obtained during the setup operation from the processor 435 (seeFIG. 4), in block 770, the database server 370 performs curve fittingtechniques to generate a model of the patient's limb 11 based on thecircumference measurements obtained from the calculated values. Asexplained above, the calculated values may be converted or otherwiseused to obtain circumference measurements. Further, in some embodiments,the calculated values may be used as the circumference measurements.

Those of ordinary skill in the art appreciate that the device 10illustrated does not collect a measurement of the position of the device10 along the limb 11. In other words, the device 10 collects they-coordinate of the points “A1” to “A8” but not the x-coordinate. Asmentioned above, during the setup operation, the device 10 may bepositioned in predetermined locations so the control system 220 canreadily correlate each of the circumference measurements with a positionon the patient's limb 11.

By way of another example, each pair of circumference measurements(collected using the sensors 450 and 460 illustrated in FIG. 4) may beused to determine the position of the device 10 on the patient's limb 11(e.g., the x-coordinates of the points “A1” to “A8”) for the purposes ofgenerating the model. In FIG. 12, the pairs include a first pair ofcircumference measurements (illustrated as points “A1” and “A2”), asecond pair of circumference measurements (illustrated as points “A3”and “A4”), a third pair of circumference measurements (illustrated aspoints “A5” and “A6”), and a fourth pair of circumference measurements(illustrated as points “A7” and “A8”).

The circumference measurements in each of the pairs are spaced apart bya predetermined distance “PD.” The predetermined distance “PD” may besubstantially equal to a distance (e.g., about 20 millimeters) betweenthe sensor 450 and the sensor 460. When the pairs of circumferencemeasurements are collected, the strap 1310 is allowed to follow thesurface of the patient's limb 11 and minor measurement deviations causedby non-planar aspects of the limb 11 may be ignored. Each of the pairsof circumference measurements may be used to determine an amount oftaper in the patient's limb 11 between the locations whereat themeasurements were taken. By way of an example, a line “T1” illustratesan amount of taper between the circumference measurements (illustratedas points “A7” and “A8”) of the fourth pair.

Further, if the orientation of the device 10 is known, the direction ofthe taper may be used to determine whether a pair of circumferencemeasurements is positioned at or near the minimum circumference “MC-1,”toward the extremity relative to the minimum circumference “MC-1,” oraway from the extremity relative to the minimum circumference “MC-1.”

The orientation of the device 10 may be determined by performingorientation signal processing on the accelerometer value(s) transferredwith the calculated values. By way of a non-limiting example, anaccelerometer with three orthogonal sensing elements detects staticdeflections in each of the sensing elements that can be used todetermine gravitation direction and thus device orientation. Suchorientation signal processing is known in the art and will not bedescribed in detail. If at the time of a measurement, the accelerometervalue(s) indicate the device 10 is horizontal (i.e., the acceleration ofgravity is substantially orthogonal to the longitudinal axis of the limb11), a previously determined orientation of the device 10 may be used.For example, the most recently determined non-horizontal orientation maybe used.

In alternate embodiments, instead of pairs of circumference measurementsspaced apart by the predetermined distance “PD,” a single circumferencemeasurement (e.g., the point “A7” in FIG. 12) and the angle “θ” (seeFIGS. 10A and 10B) may be used to define the contoured line “L1.” Theangle “θ” may serve the same purpose as the second circumferentialmeasurement of each of the pairs of circumferential measurementsdiscussed above. Specifically, the angle “θ” may be used to determine anamount of taper in the patient's limb 11 whereat the circumferencemeasurement was taken. Using multiple circumference measurements andangle “θ” for each circumference measurement, the contoured line “L1”(e.g., a parabolic curved line) may be defined using curve fittingtechniques.

In block 771, the database server 370 uses the circumferencemeasurements collected during the setup operation and/or an updateoperation (discussed below) to generate a lookup table (not shown).Returning to FIG. 12, a difference between the circumferencemeasurements of each of the pairs (referred to as a “circumferencedifferential value”) may be correlated with a position along thelongitudinal axis of the limb 11. For example, the difference betweenthe y-coordinates of the first pair of circumference measurements(plotted as points “A1” and “A2”) is larger than the difference betweenthe y-coordinates of the second pair of circumference measurements(plotted as points “A3” and “A4”), indicating the first pair is fartherfrom the minimum circumference “MC-1” than the second pair.

The lookup table may list the following values for each pair ofcircumference measurements:

-   -   1) at least one of the circumference measurements of the pair of        circumference measurements;    -   2) the circumference differential value; and    -   3) the minimum circumference “MC-1.”        As will be explained below, the lookup table may be used by the        database server 370 to determine whether the circumference of        the limb 11 has changed.

In block 772, the database server 370 waits to receive new circumferencemeasurements from the device 10. By way of a non-limiting example, thedatabase server 370 may wait for a predetermined interval.

In decision block 775, the database server 370 determines whether newcircumference measurements have been received. The decision in decisionblock 775 is “YES” when new circumference measurements have beenreceived. On the other hand, the decision in decision block 775 is “NO”when new circumference measurements have not been received.

When the decision in decision block 775 is “NO,” the method 750terminates.

When the decision in decision block 775 is “YES,” in decision block 780,the database server 370 determines whether to update the model. Thedecision in decision block 780 is “YES” when the database server 370decides to update the model. On the other hand, the decision in decisionblock 780 is “NO” when the database server 370 decides not to update themodel.

When the decision in decision block 780 is “NO,” the database server 370returns to block 772 to wait for new circumference measurements.

When the decision in decision block 780 is “YES,” new circumferencemeasurements are used to update or modify the model. The newcircumference measurements may be those accumulated as the device 10 isworn by the patient 230 (e.g., the new circumference measurementsreceived before decision block 775) and/or new circumferencemeasurements collected during an update operation.

Further, other information, such as patient height and weight may beconsidered and used to modify the model. For example, if the patient 230has gained weight other than by the retention of fluids, an increase inlimb circumference may merely be the result of the weight gain.Therefore, the model (e.g., equation defining the contoured line “L1”)may be updated to reflect the change in limb size.

In decision block 790, the database server 370 determines whether toperform the update operation, which may be substantially similar to thesetup operation. The decision in decision block 790 is “YES” when thedatabase server 370 decides to perform the update operation. On theother hand, the decision in decision block 790 is “NO” when the databaseserver 370 decides not to perform the update operation.

The setup or update operations may be performed when the length of thestrap 1310 is adjusted (e.g., tightened or loosened). Further, the setupor update operations may be performed when the strap 1310 is replacedbecause manufacturing variations may exist in the reflective qualitiesof the optical gradient 1545 or strap 1310. This setup or updateoperations may be performed by the control system 220 automatically.Further, a user (e.g., the patient 230, the support person 330, thecaregiver 332, and the like) may initiate the performance of the setupor update operations (e.g., in response to a recalibration notice).

When the decision in decision block 790 is “YES,” the block 760 isperformed to collect the new circumference measurements. Then, in block770, the database server 370 regenerates the model using thecircumference measurements collected during the setup operation, the newcircumference measurements collected during the update operation, andoptionally, the new circumference measurements collected (beforedecision block 775) as the device 10 was worn by the patient 230.

When the decision in decision block 790 is “NO,” in block 770, thedatabase server 370 regenerates the model using the circumferencemeasurements collected during the setup operation as well as the newcircumference measurements.

While the contoured line “L1” has been described as being a parabola,instead, the contoured line “L1” may be V-shaped. In such animplementation, the wrist or ankle is modeled as two cones axiallyaligned and merged together near each of their points. However, each ofthe cones has a linear taper and constant surface angle with respect tothe axis of the cone. In contrast, a limb, particularly near the wristor ankle, has a curved and somewhat parabolic shape. Thus, it may bedesirable for the contoured line “L1” to have a rate of taper change, orapparent surface angle change that is not constant. In particular, itmay be desirable for the rate of taper change to lessen near the minimumcircumference “MC-1” and increase progressively outwardly from theminimum circumference as occurs in a parabola.

By way of yet another non-limiting example, the model of thethree-dimensional surface of the limb 11 may be constructed usinganatomical data. For example, the model may be created by scanning arepresentative human limb or combining multiple scans of limbs to createa composite model. Multiple models may be created for different genders,ages, heights, weights, a combination thereof, and the like. Further, amodel may be created for each patient by scanning the limb 11 of thepatient 230.

In FIG. 12, the contoured line “L1” is symmetric about the y-axis. Thus,the contoured line “L1” indicates the rate of change in the surfaceangle of the limb 11 is the same at locations equidistant from theminimum circumference “MC-1” along the longitudinal axis of the limb 11.However, this may not be the case. Because the rate of change of thesurface angle of the patient's limb 11 is likely to be different andnonsymmetrical along the longitudinal axis of the limb 11 from theminimum circumference “MC-1” toward the direction toward the extremity(e.g., foot or hand) than in the opposite direction from the minimumcircumference “MC-1,” different mathematical equations or a differentmodel may be used to model these portions of the limb 11. As mentionedabove, the accelerometer value(s) may be used to determine theorientation of the device 10 so that whether the device 10 is above orbelow the minimum circumference “MC-1” may be determined.

FIG. 8B is a flow diagram of the method 800 of analyzing the calculatedvalues and accelerometer value(s) (and optionally the data obtained fromthe oximeter 420 and/or the heart rate sensor 415) optionallytransferred to the control system 220 by the device 10. By way of anon-limiting example, the method 800 will be described as beingperformed by the database server 370 (see FIG. 3). However, in alternateembodiments, the method 800 may be performed by the device 10, thecontrol system 220, and/or a combination thereof. The method 800 may beperformed immediately after block 740 in the method 700. Alternatively,the method 800 may be performed after two or more transmissions arereceived from the device 10. By way of yet another non-limiting example,the method 800 may be performed at predetermined intervals.

For ease of illustration, the method 800 will be described with respectto the circumference measurements plotted as points “P1” and “P2” inFIG. 12. However, as is apparent to those of ordinary skill in the art,the method 800 may be performed with respect to more than a pair ofcircumference measurements.

In first block 810, the database server 370 determines an orientation ofthe device 10 when the “lit” analog signals used to determine thecalculated values from which the circumference measurements plotted asthe points “P1” and “P2” in FIG. 12 were collected. In block 810, thedatabase server 370 performs orientation signal processing on theaccelerometer value(s) transferred with the calculated values todetermine the orientation of the device 10 on the limb 11. By way of anon-limiting example, an accelerometer with three orthogonal sensingelements detects static deflections in each of the sensing elements thatmay be used to determine gravitation direction and thus deviceorientation. Such orientation signal processing is known in the art andwill not be described in detail. The database server 370 may store theorientation of the device 10.

In optional decision block 820, the database server 370 may determinewhether the sensors 450, 455, and 460 were properly aligned with theoptical gradient 1545. The calculated value for the sensor 455 may beused to verify the alignment of the emitter “E2” with the opticalgradient 1545. For example, if the calculated value is within apredetermined range expected for the solid portion “GS” of the opticalgradient 1545, the database server 370 determines the sensors 450, 455,and 460 were properly aligned with the optical gradient 1545. Otherwise,if the calculated value is not within the predetermined range expectedfor the solid portion “GS” of the optical gradient 1545, the databaseserver 370 determines the sensors 450, 455, and 460 were improperlyaligned.

The decision in optional decision block 820 is “YES” when the databaseserver 370 determines the sensors 450, 455, and 460 were properlyaligned with the optical gradient 1545. On the other hand, the decisionin optional decision block 820 is “NO” when the database server 370determines the sensors 450, 455, and 460 were improperly aligned withthe optical gradient 1545.

When the decision in optional decision block 820 is “NO,” in optionalblock 825, the database server 370 may indicate a misalignment occurred.Then, the method 800 terminates having failed to determine a finalcircumference value (or edema measure).

When the decision in optional decision block 820 is “YES,” or theoptional decision block 820 is omitted, in block 835, the databaseserver 370 calculates a circumference differential value for thecircumference measurements plotted as the points “P1” and “P2” in FIG.12. As explained above, to calculate the circumference differentialvalue, the database server 370 may calculate a first circumferencemeasure for the sensor 450 based on the calculated value for the sensor450 and a second circumference measure for the sensor 460 based on thecalculated value for the sensor 460. For ease of illustration, thedevice 10 will be described as being in the orientation illustrated inFIGS. 13 and 17. However, this is not a requirement. When the device 10is in this orientation, the sensor 460 is nearer an extremity (e.g., ahand or a foot) and is positioned below the sensor 450, which is fartheraway from the extremity. Thus, the sensor 450 may be characterized asbeing an upper sensor and the sensor 460 may be characterized as being alower sensor. However, as is appreciated by those of ordinary skill inthe art, the assignment of upper and lower are purely arbitrary and varybased upon the position of the patient's limb. By way of a non-limitingexample, the circumference differential value may be calculated bysubtracting the first circumference measure for the (upper) sensor 450from the second circumference measure for the (lower) sensor 460.

If the circumference differential value is approximately zero, thesensors 450 and 460 are adjacent portions of the optical gradient 1545having substantially equivalent reflectivity. Because the first andsecond gradient portions “G1” and “G2” are substantially aligned withone another, this means the sensors 450 and 460 are adjacentcorresponding portions of the first and second gradient portions “G1”and “G2.” The device 10 is illustrated in this configuration in FIG.10B. This may indicate the device 10 is positioned approximately at thepatient's wrist or ankle.

On the other hand, if the circumference differential value is greaterthan or less than zero, the sensors 450 and 460 are not adjacentcorresponding portions of the first and second gradient portions “G1”and “G2.” As will be described in greater detail below, the position ofthe sensors 450, 455, and 460 relative to the optical gradient 1545varies with the circumference of the patient's limb 11. Further, theposition of the sensors 450, 455, and 460 relative to the opticalgradient 1545 along the transverse direction (indicated by the arrow“TD”) may vary based upon the location of the device 10 on the patient'slimb 11.

If the circumference differential value is greater than zero, the device10 may be positioned above the patient's wrist or ankle. The device 10is illustrated in this configuration in FIG. 10A. On the other hand, ifthe circumference differential value is less than zero, the device 10may be positioned below the patient's wrist or ankle. The device 10 isillustrated in this configuration in FIG. 10C.

In decision block 840, the database server 370 determines whether thecircumference differential value is too large, indicating improperplacement of the device 10. By way of a non-limiting example, thedatabase server 370 may determine the circumference differential valueis too large if the circumference differential value is greater than apredetermined threshold value. The decision in decision block 840 is“YES” when the database server 370 determines the circumferencedifferential value is too large. On the other hand, the decision indecision block 840 is “NO” when the database server 370 determines thecircumference differential value is not too large.

When the decision in decision block 840 is “YES,” in optional block 845,the database server 370 sends a message to the patient 230 to adjust theposition of the device 10. Further, in optional block 845, the databaseserver 370 may remove the calculated values from the patient record.Then, the method 800 terminates.

Because the circumference of the limb 11 varies along its longitudinalaxis, to compare successive circumference measurements to one anotherdirectly, the circumference measurements must have been collected fromnearly identical locations along the longitudinal axis of the limb 11.Because the device 10 may move along the longitudinal axis of the limb11, it may not be possible to compare successive circumferencemeasurements directly. Further, the patient 230 may inadvertentlyposition the device 10 in different locations along the patient's limbbetween circumference measurements, which could contribute tomeasurement errors. However, as explained above, the model (e.g., thecontoured line “L1”) may be used to obtain the minimum circumference“MC-1” (or an estimate thereof) for the limb 11. The minimumcircumference values obtained from successive circumference measurementsmay be compared directly because they are believed to be from the samelocation on the limb 11.

When the decision in decision block 840 is “NO,” in block 850, thedatabase server 370 determines a minimum circumference “MC-3” for thecircumference measurements plotted as the points “P1” and “P2” in FIG.12 and whether the minimum circumference “MC-3” indicates the size ofthe limb 11 has changed. As mentioned above, the database server 370 maycreate a lookup table using the pairs of circumference measurements usedto create the model.

The database server 370 may use the lookup table to determine whetherthe minimum circumference “MC-3” and whether the circumference of thelimb 11 has changed. For example, the database server 370 may determinethe circumference of the limb 11 has not changed if the newly measuredpair of circumference measurements (plotted as the points “P1” and “P2”in FIG. 12) includes a circumference measurement corresponding to thecircumference measurement stored in the lookup table for a previouslycollected pair of circumference measurements, and the circumferencedifferential value of the new pair of circumference measurements matchesthe circumference differential value stored for the same previouslycollected pair of circumference measurements. When this is the case, theminimum circumference “MC-1” associated with the previously collectedpair of circumference measurements may be used as the minimumcircumference “MC-3” for the new pair.

Similarly, the database server 370 may determine the circumference ofthe limb 11 has not changed if the newly measured pair of circumferencemeasurements (plotted as the points “P1” and “P2” in FIG. 12) includes acircumference measurement between the circumference measurements storedin the lookup table for a first previously collected pair ofcircumference measurements and a second previously collected pair ofcircumference measurements, and the circumference differential value ofthe new pair of circumference measurements is between the circumferencedifferential values stored for the first and second previously collectedpairs of circumference measurements. When this is the case, the minimumcircumference “MC-1” associated with the previously collected pair ofcircumference measurements may be used as the minimum circumference“MC-3” for the new pair. The position of the new pair on the contouredline “L1” may be determined using interpolation (e.g., linearinterpolation) between the first and second previously collected pairsof circumference measurements.

However, the database server 370 may determine the circumference of thelimb 11 has changed if the newly measured pair of circumferencemeasurements (plotted as the points “P1” and “P2” in FIG. 12) includes acircumference measurement corresponding to the circumference measurementstored in the lookup table for a previously collected pair ofcircumference measurements, but the circumference differential value ofthe new pair of circumference measurements does not match the differencevalue stored for the same previously collected pair of circumferencemeasurements. Similarly, the database server 370 may determine thecircumference of the limb 11 has changed if the newly measured pair ofcircumference measurements includes a circumference measurement betweenthe circumference measurements stored in the lookup table for a firstpreviously collected pair of circumference measurements and a secondpreviously collected pair of circumference measurements, but thecircumference differential value of the new pair of circumferencemeasurements is not between the circumference differential values storedfor the first and second previously collected pairs of circumferencemeasurements.

Referring to FIG. 12, if the limb 11 has swelled but its shape hasremained substantially unchanged, the swollen limb may be modeled by acontoured line “L3,” which has the same shape as the contoured line“L1,” but is shifted upwardly on the y-axis relative to the contouredline “L1.” In this example, the point “P1” is aligned vertically withthe point “A7” and the point “P2” is aligned vertically with the point“A8.” Therefore, the circumference differential value of the new pair ofcircumference measurements (plotted as the points “P1” and “P2”) is thesame as the circumference differential value stored in the lookup tablefor the previously collected pair of circumference measurements (plottedas the points “A7” and “A8”). However, a first circumference measurement(plotted as the point “P1”) of the new pair is larger than thecorresponding first circumference measurement (plotted as the point“A7”) of the previously collected pair. Similarly, a secondcircumference measurement (plotted as the point “P2”) of the new pair islarger than the corresponding second circumference measurement (plottedas the point “A8”) of the previously collected pair. Thus, no matterwhich of the circumference measurements of the previously collected pairare stored in the lookup table, the lookup table will indicate the limb11 has swollen when corresponding circumference measurements of the newand previously collected pairs are compared to one another.

Referring to FIG. 12, if swelling in the limb 11 has reduced but itsshape has remained substantially unchanged, the limb may be modeled by acontoured line having the same shape as the contoured line “L1,” butshifted downwardly on the y-axis relative to the contoured line “L1.”The circumference differential value of a new pair of circumferencemeasurements will be the same as the circumference differential valuestored in the lookup table for a previously collected pair ofcircumference measurements. However, a first circumference measurementof the new pair will be smaller than the corresponding firstcircumference measurement of the previously collected pair. Similarly, asecond circumference measurement of the new pair will be smaller thanthe corresponding second circumference measurement of the previouslycollected pair. Thus, no matter which of the circumference measurementsof the previously collected pair are stored in the lookup table, thelookup table will indicate swelling in the limb 11 has reduced whencorresponding circumference measurements of the new and previouslycollected pairs are compared to one another.

When the database server 370 determines the size of the limb 11 haschanged, the database server 370 generates a contoured line (e.g., thecontoured line “L3”), and uses the contoured line to determine theminimum circumference (e.g., the minimum circumference “MC-3”) of thelimb 11.

In block 852, the database server 370 compares the previously obtainedminimum circumference “MC-1” to the newly measured minimum circumference(e.g., the minimum circumference “MC-3”).

In decision block 854, the database server 370 determines whether thenewly measured minimum circumference (e.g., the minimum circumference“MC-3”) is larger than the previously obtained minimum circumference“MC-1,” indicating the limb 11 has swollen. The decision in decisionblock 854 is “YES” when the newly measured minimum circumference (e.g.,the minimum circumference “MC-3”) is larger than the previously obtainedminimum circumference “MC-1.” On the other hand, the decision indecision block 854 is “NO” when the newly measured minimum circumference(e.g., the minimum circumference “MC-3”) is not larger than thepreviously obtained minimum circumference “MC-1.”

When the decision in decision block 854 is “NO,” the database server 370advances to block 885.

When the decision in decision block 854 is “YES,” in block 875, thedatabase server 370 analyzes one or more triggers to determine whetherany have been satisfied such that a message is be sent to the patient230 (e.g., the message 225 illustrated in FIG. 2), the support person330, and/or the caregiver 332. For example, a trigger may have beenentered into the website 217 indicating that if the limb 11 swells bymore than a trigger threshold value, the message 225 (see FIG. 2) is tobe sent to the patient 230. In block 875, the database server 370determines by how much the limb 11 has swelled and compares that amountto the trigger threshold value.

By way of example, in block 875, the database server 370 may determinean amount of change and/or a rate of change. In block 875, the databaseserver 370 may try to identify a trend indicative of a problem. Forexample, if the minimum circumference values appear to be increasing,the patient 230 may be experiencing a medical problem. In block 875, thedatabase server 370 may determine an amount by which edema in the limb11 has changed.

In decision block 880, the database server 370 determines whether one ormore triggers are satisfied indicating a problem. The decision indecision block 880 is “YES” when the database server 370 determines oneor more triggers are satisfied. On the other hand, the decision indecision block 880 is “NO” when the database server 370 determines noneof the triggers are satisfied.

When the decision in decision block 880 is “NO,” in optional block 885,the database server 370 may send a notification indicating no problemhas been detected to the device 10, the patient desktop computer 335,the patient cellular telephone 350, the patient portable computer 355,and the like to be viewed by patient 230. The notification may beviewable on the website 217 (see FIG. 2). Optionally, the databaseserver 370 may send a notification indicating no problem has beendetected to the computing device 310 to be viewed by the support person330 and/or to the computing device 315 to be viewed by the caregiver332. Any such notifications may be viewable on the website 217 (see FIG.2). Then, the method 800 terminates.

When the decision in decision block 880 is “YES,” in block 890, thedatabase server 370 may send a notification indicating a problem hasbeen detected to the device 10, the patient desktop computer 335, thepatient cellular telephone 350, the patient portable computer 355, andthe like to be viewed by patient 230. The notification may be viewableon the website 217 (see FIG. 2). Optionally, the database server 370 maysend a notification indicating a problem has been detected to thecomputing device 310 to be viewed by the support person 330 and/or tothe computing device 315 to be viewed by the caregiver 332. Any suchnotifications may be viewable on the website 217 (see FIG. 2).Instructions may be associated with the trigger and included in themessage sent to the patient 230, the support person 330, and/or thecaregiver 332. The instructions may include a predefined treatment plan.Then, the method 800 terminates.

FIG. 11 is a flow diagram of a method 1100 of processing triggersspecified for sensors other than the sensors 450, 455, and 460. Themethod 1100 may be performed by the device 10, the control system 220,and/or a combination thereof. For ease of illustration, the method 1100will be described as being performed by the database serve 370. Asmentioned above, the patient 230, the support person 330, and/or thecaregiver 332 may use the website 217 to specify trigger conditions(e.g., threshold values) that trigger messages to the patient 230, thesupport person 330, and/or the caregiver 332. The method 1100 may beused with the accelerometer values(s) obtained from the accelerometer405, oxygen amounts obtained from the oximeter 420, and/or heart ratevalues obtained from the heart rate sensor 415. Further, the method 1100may be used with the calculated values obtained from the sensors 450,455, and 460 combined with the data from one or more of the othersensors.

In the first block 1110, the database server 370 obtains the relevantsensor data.

In block 1120, the database server 370 analyzes the sensor data relativeto one or more triggers to determine whether any of the triggers havebeen satisfied such that a trigger message is to be sent to the patient230 (e.g., the message 225 illustrated in FIG. 2), the support person330, and/or the caregiver 332. For example, a trigger may have beenentered into the website 217 indicating that if the patient's physicalactivity drops below a specified level, a trigger message is to be sentto the patient 230, the support person 330, and/or the caregiver 332reporting unusual inactivity. By way of another example, increasedperipheral edema measurements might trigger a predetermined prescribedtreatment plan that could include increasing a dosage of a diuretic orother medication. By way of yet another example, a combination of sensormeasurements (e.g., measurements indicating increased edema and reducedactivity) may trigger additional stress testing, automated patientsymptom questions, a nurse to call or messages to setup an appointmentwith a healthcare provider. In block 1120, the database server 370 maytry to identify a trend indicative of a problem.

In decision block 1130, the database server 370 determines whether oneor more triggers are satisfied indicating a problem. The decision indecision block 1130 is “YES” when the database server 370 determines oneor more triggers are satisfied. On the other hand, the decision indecision block 1130 is “NO” when the database server 370 determines noneof the triggers are satisfied.

When the decision in decision block 1130 is “NO,” in optional block1140, the database server 370 may send a notification indicating noproblem has been detected to the device 10, the patient desktop computer335, the patient cellular telephone 350, the patient portable computer355, and the like to be viewed by patient 230. The notification may beviewable on the website 217 (see FIG. 2). Optionally, the databaseserver 370 may send a notification indicating no problem has beendetected to the computing device 310 to be viewed by the support person330 and/or to the computing device 315 to be viewed by the caregiver332. Any such notifications may be viewable on the website 217 (see FIG.2). Then, the method 800 terminates.

When the decision in decision block 1130 is “YES,” in block 1150, thedatabase server 370 may send a trigger message indicating a problem hasbeen detected to the device 10, the patient desktop computer 335, thepatient cellular telephone 350, the patient portable computer 355, andthe like to be viewed by patient 230. The trigger message may beviewable on the website 217 (see FIG. 2). Optionally, the databaseserver 370 may send a trigger message indicating a problem has beendetected to the computing device 310 to be viewed by the support person330 and/or to the computing device 315 to be viewed by the caregiver332. Any such trigger messages may be viewable on the website 217 (seeFIG. 2). Instructions may be associated with the trigger and included inthe message sent to the patient 230, the support person 330, and/or thecaregiver 332. For example, the trigger message may instruct the patient230 to engage in a particular physical activity (e.g., a stress test)for the purposes of collecting patient data during the physicalactivity. The collection of such data may be coordinated using thewebsite 217. As the patient 230 engages in the particular physicalactivity, the device 10 collects data (using the accelerometer 405, theheart rate sensor 415, the oximeter 420, the sensor 450, the sensor 455,and/or the sensor 460) and transfers the data collected to the controlsystem 220. Then, the method 1100 terminates.

Feedback may be used to improve the system 200 using retrospectiveanalysis. A website or telephone interaction, for example, may be usedto provide a convenient means of feeding information back to the controlsystem 220 regarding decompensation events, if any occur. The patienthistory can be reviewed to improve of the performance of the controlsystem 220. In cases where the caregiver 332 (or other healthcareprofessional) is available by telephone, the system 200 may be used totrigger prospective interaction with the patient 230 that the caregiver332 may enter into the patient record. In this manner, the system 200may acquire additional information that may be used to improve theability of the system to recognize problems. Further, the system 200 mayuse such information to provide an earlier indication of a problem thatmay be reversible by simple measures, such as improved treatment plancompliance, additional medication, reduced salt intake, and the like,which may be implemented before the patient 230 requires emergencyhealthcare system intervention.

Device 10

As described above, FIG. 4 illustrates the circuit 400 that may be usedto construct the device 10. Referring to FIGS. 13-18 other componentsthat may be used to construct the device 10 will be described.

Turning to FIG. 17, in the embodiment illustrated, the circuit 400 ismounted on a substrate 1505 (e.g., a printed circuit board) housedinside a two-part electronics enclosure 1335. A removable battery 1620may provide power to the circuit 400. An insulator 1805 may bepositioned adjacent the circuit 400 to allow the battery 1620 to bechanged without contacting the circuit 400. The electronics enclosure1335 includes a body portion 1540 and a transparent cover 1810. The bodyportion 1540 may include a compliant, elastomeric portion 1535 that ispositioned against the patient's limb 11 when the device 10 is worn. Thebody portion 1540 is substantially fluid tight to prevent fluid ingress.The electronics enclosure 1335 may be positioned inside the frame member1337 having a hook 1330 spaced part from the guide portion 1315.

Turning to FIG. 13, in the embodiment illustrated, the first end portion1312 of the strap 1310 is connected to the frame member 1337 surroundingthe electronics enclosure 1335 by the tensioning member 1320 and thesecond end portion 1314 of the strap 1310 is connected to the guideportion 1315 of the frame member 1337.

The first end portion 1312 of the strap 1310 extends around thetensioning member 1320 and is affixed to itself. For example, the firstend portion 1312 of the strap 1310 may be looped around the tensioningmember 1320, folded back on itself, and affixed in place by an adhesivematerial 1345. A guide 1340 spaced apart from the tensioning member 1320may also be adhered to the first end portion 1312 of the strap 1310 bythe adhesive material 1345. The guide 1340 may be configured to limitlateral movement of the first end portion 1312 of the strap 1310 to helpmaintain the optical gradient 1545 adjacent the sensors 450, 455, and460, even when the device 10 is positioned on a portion of the patient'slimb 11 (see FIG. 1) at a location of extreme taper. By way of anon-limiting example, the adhesive material 1345 may include a doublestick adhesive, such as 3M 5952 (3M, St Paul, Minn.) or similar adhesivematerial.

The second end portion 1314 of the strap 1310 is removably orrepositionally affixed to itself by a different adhesive tape 1325, suchas 3M 9425 or similar adhesive material. The second end portion 1314 ofthe strap 1310 is looped around the guide portion 1315 of the framemember 1337, folded back on itself, and removably fixed in place by theadhesive tape 1325. The second end portion 1314 of the strap 1310 may berepositioned to adjust the length of the strap 1310 to allow for a largerange of circumference changes and for use with a variety of small andlarge limbs.

The strap 1310 is flexible, substantially inelastic, and resistsstretching when worn by the patient 230 (see FIG. 1). By way of anon-limiting example, the strap 1310 may be constructed from aninelastic material, such as Tyvek (Dupont, Wilmington, Del.) or othersimilar material.

Referring to FIG. 15, as mentioned above, the sensor portion 1515 of theelectronics enclosure 1335 extends under the first end portion 1312 ofthe strap 1310 and the optical gradient 1545 is positioned on the firstend portion 1312 of the strap 1310 to face the sensor portion 1515 ofthe electronics enclosure 1335. The emitter “E1” and detector “D1” ofthe sensor 450, the emitter “E2” and detector “D2” of the sensor 455,and the emitter “E3” and detector “D3” of the sensor 460 are positionedon the sensor portion 1515 of the electronics enclosure 1335 with theemitters and detectors facing toward the optical gradient 1545 on thefirst end portion 1312 of the strap 1310.

The tensioning member 1320 may be coupled to the hook 1330 of the framemember 1337. Tension in the tensioning member 1320 pulls the first endportion 1312 toward the electronics enclosure 1335 to thereby imparttension in the strap 1310, which may hold the strap 1310 snuggly againstthe limb 11. Further, the tensioning member 1320 may help maintain theposition of the gradient surface 1545 adjacent to the sensor portion1515 of the electronics enclosure 1335. This tensioning member 1320allows the first and second end portions 1312 and 1314 of the strap 1310to skew relative to one another (to define the angle “θ” illustrated inFIGS. 10A and 10C) and allows the strap to follow the surface of thelimb 11.

At least a portion of the sensor portion 1515 of the electronicsenclosure 1335 may be transparent to the light emitted by the emitters“E1,” “E2,” and “E3” (e.g., red and infrared radiation having awavelength between about 600 nm to about 1000 nm). In the embodimentillustrated, the transparent cover 1810 that allows light emitted by theemitters “E1,” “E2,” and “E3” to pass therethrough to illuminate theoptical gradient 1545. A portion of the light emitted by the emitters“E1,” “E2,” and “E3” is reflected back toward the detectors “D1,” “D2,”and “D3” positioned inside the sensor portion 1515 of the electronicsenclosure 1335. The reflected light passes through the transparent cover1810 and into the sensor portion 1515 of the electronics enclosure 1335where it is detected by the detectors “D1,” “D2,” and “D3.”

The amount of light reflected back toward the sensor portion 1515 isproportional to the position of the detectors “D1” and “D3” relative tothe gradient portions “G1” and “G2,” respectively. The light sensed bythe detectors “D1” and “D3” may be correlated to the position of thedevice 10 on the limb 11.

Optionally, the device 10 may include a display (not shown), such as aliquid crystal display, configured to display messages sent to thedevice.

In an alternate embodiment, referring to FIG. 4, the radio 430 and theantenna 425 are omitted from the circuit 400. Instead, referring to FIG.18, in a device 1700, the circuit 400 is configured to communicate via awired connection 1710 with an external computing device (e.g., thepatient desktop computer 335, the patient cellular telephone 350, thepatient portable computer 355, and the like). The wired connection 1710includes a cable 1715 connected at one end to the circuit 400 and at theopposite end to a connector 1720 (e.g., a universal serial busconnector). The connector 1720 may be configured to receive power fromthe external computing device. In such embodiments, the circuit 400 maybe powered by the wired connection 1710, instead of the battery 1620.

In another alternate embodiment, the device 10 may be configured tostore measurements (and other data), and display information directly tothe patient 230. In such an embodiment, the device 10 may analyze thestored data, or alternatively, be connected to an externalcommunications device configured to transfer the data for analysis by anexternal computing device (e.g., the database server 370). When theanalysis is completed, the results may be transferred to the device fordisplay thereby.

The width of the strap 1310 may be selected such that the strapintimately and contiguously follows the surface of the limb 11 and atthe same time properly places the sensors 450, 455, and 460 relative tothe optical gradient 1545. By way of a non-limiting example, the strap1310 may be about 25 mm wide. Further, the sensor 450 may be spacedabout 20 mm from the sensor 460.

Declines in patient activity level have also been found to correlate toimpending decompensation. Therefore, the accelerometer 405 may be usedto measuring patient activity and transmit such information to thecontrol system 220 for analysis thereby to detect trends in generalpatient activity. The control system 220 may also detect falls andrecognize leg orientation to better understand variations in patientactivity. The control system 220 may be configured to recognize asubstantial variation in patient activity alone as a predictor of amedical problem. In response to detecting a substantial variation inpatient activity, the control system 220 may send a message to thepatient 230 (via the patient desktop computer 335, the patient cellulartelephone 350, the patient portable computer 355, and the like), thesupport network 210 (e.g., via the computing device 310), and/or thehealthcare system 205 (e.g., via the computing device 315). Further, thecircuit 400 may be modified to include sensors for detecting otherphysiological parameters such as impedance, respiration,electrocardiogram (“ECG”), and or pulse velocity non-invasive bloodpressure (“NIBP”). Physiological parameters sensed by the circuit 400may be stored, analyzed, and displayed locally on the device 10, orcommunicated to an external computing device.

The control system 220 may send instructions to the device 10. Forexample, the control system 220 may instruct the device 10 to collectmeasurements from particular sensors, change the schedule (e.g.,intervals) when measurements are collected, display status information,modify (e.g., update) local software programs, and the like.

The control system 220 may route messages to the patient 230, thesupport person 330, and/or the caregiver 332 in a scheduled or eventdriven manner. Not all significant heart failure symptoms are objective,physiological measurements. Scheduled messages sent to the patient(e.g., sent via the patient cellular telephone 350) including questionsregarding breathlessness, as an example, might be used to gatherinformation useful for generating a trend baseline of the patient'scondition. Event driven messages might request that the patient 230, asan example, perform particular actions (e.g., perform a walking stresstest) to characterize the significance of changes observed in thepatient's physiological conditions. The control system 220 may analyzedata as it is received (in view of the patient record), route messages,and initiate actions as required.

Thus, the system 200 implements a feedback or control loop is created inwhich the control system 220 may immediately recognize a swelling trendin the patient's limb 11. A heart failure patient can substantiallyaffect the progression of the disease by compliance with a treatmentplan, which may include medication, diet, and exercise. The system 200may reinforce compliance by providing a means for patients to connectwith each other by messaging, voice, and chat room options.

While the sensors 450, 455, and 460 have been described as being lightsensors, those of ordinary skill in the art appreciate that embodimentsmay be constructed using other types of sensors, such as linear variableresistors, rotary variable resistors, pressure sensors, strain sensors,magnetoresistive circuits, conductive fabric, conductive elastomers, andthe like. Additionally, embodiments may be constructed using sensorsthat measure capacitance, inductance, magnetorestrictive, Hall Effect,optical pattern encoding, optical path measurement, light loss bendingconstructions, piezo effect, eddy current, ultrasound, and/or radar.

The device 10 has been described as including sensors 450, 455, and 460configured for use with an optical gradient 1545. However, other methodsmay be used to determine whether the distance around the limb 11 haschanged. For example, sensors configured to sense strain or pressure maybe used. Further, the system 200 may be configured to receivecircumference measurements from devices other than the device 10 and usethose measurements to evaluate the circumference of the patient's limb.

Computing Device

FIG. 19 is a diagram of hardware and an operating environment inconjunction with which implementations of the database server 370, thepatient desktop computer 335, the patient cellular telephone 350, thepatient portable computer 355, the support computing device 310, thecaregiver computing device 315, and the web server 318 may be practiced.The description of FIG. 19 is intended to provide a brief, generaldescription of suitable computer hardware and a suitable computingenvironment in which implementations may be practiced. Although notrequired, implementations are described in the general context ofcomputer-executable instructions, such as program modules, beingexecuted by a computer, such as a personal computer. Generally, programmodules include routines, programs, objects, components, datastructures, etc., that perform particular tasks or implement particularabstract data types.

Moreover, those skilled in the art will appreciate that implementationsmay be practiced with other computer system configurations, includinghand-held devices, multiprocessor systems, microprocessor-based orprogrammable consumer electronics, network PCs, minicomputers, mainframecomputers, and the like. Implementations may also be practiced indistributed computing environments where tasks are performed by remoteprocessing devices that are linked through a communications network. Ina distributed computing environment, program modules may be located inboth local and remote memory storage devices.

The exemplary hardware and operating environment of FIG. 19 includes ageneral-purpose computing device in the form of a computing device 12.The database server 370, the patient desktop computer 335, the patientcellular telephone 350, the patient portable computer 355, the supportcomputing device 310, the caregiver computing device 315, the web server318 may each be implemented using one or more computing devices like thecomputing device 12.

The computing device 12 includes a system memory 22, the processing unit21, and a system bus 23 that operatively couples various systemcomponents, including the system memory 22, to the processing unit 21.There may be only one or there may be more than one processing unit 21,such that the processor of computing device 12 includes a singlecentral-processing unit (“CPU”), or a plurality of processing units,commonly referred to as a parallel processing environment. When multipleprocessing units are used, the processing units may be heterogeneous. Byway of a non-limiting example, such a heterogeneous processingenvironment may include a conventional CPU, a conventional graphicsprocessing unit (“CGU”), a floating-point unit (“FPU”), combinationsthereof, and the like.

The computing device 12 may be a conventional computer, a distributedcomputer, or any other type of computer.

The system bus 23 may be any of several types of bus structuresincluding a memory bus or memory controller, a peripheral bus, and alocal bus using any of a variety of bus architectures. The memory 410(illustrated FIG. 4) may be substantially similar to the system memory22. The system memory 22 may also be referred to as simply the memory,and includes read only memory (ROM) 24 and random access memory (RAM)25. A basic input/output system (BIOS) 26, containing the basic routinesthat help to transfer information between elements within the computingdevice 12, such as during start-up, is stored in ROM 24. The computingdevice 12 further includes a hard disk drive 27 for reading from andwriting to a hard disk, not shown, a magnetic disk drive 28 for readingfrom or writing to a removable magnetic disk 29, and an optical diskdrive 30 for reading from or writing to a removable optical disk 31 suchas a CD ROM, DVD, or other optical media.

The hard disk drive 27, magnetic disk drive 28, and optical disk drive30 are connected to the system bus 23 by a hard disk drive interface 32,a magnetic disk drive interface 33, and an optical disk drive interface34, respectively. The drives and their associated computer-readablemedia provide nonvolatile storage of computer-readable instructions,data structures, program modules, and other data for the computingdevice 12. It should be appreciated by those skilled in the art that anytype of computer-readable media which can store data that is accessibleby a computer, such as magnetic cassettes, flash memory cards, solidstate memory devices (“SSD”), USB drives, digital video disks, Bernoullicartridges, random access memories (RAMs), read only memories (ROMs),and the like, may be used in the exemplary operating environment. As isapparent to those of ordinary skill in the art, the hard disk drive 27and other forms of computer-readable media (e.g., the removable magneticdisk 29, the removable optical disk 31, flash memory cards, SSD, USBdrives, and the like) accessible by the processing unit 21 may beconsidered components of the system memory 22.

A number of program modules may be stored on the hard disk drive 27,magnetic disk 29, optical disk 31, ROM 24, or RAM 25, including anoperating system 35, one or more application programs 36, other programmodules 37, and program data 38. A user may enter commands andinformation into the computing device 12 through input devices such as akeyboard 40 and pointing device 42. Other input devices (not shown) mayinclude a microphone, joystick, game pad, satellite dish, scanner, touchsensitive devices (e.g., a stylus or touch pad), video camera, depthcamera, or the like. These and other input devices are often connectedto the processing unit 21 through a serial port interface 46 that iscoupled to the system bus 23, but may be connected by other interfaces,such as a parallel port, game port, a universal serial bus (USB), or awireless interface (e.g., a Bluetooth interface). A monitor 47 or othertype of display device is also connected to the system bus 23 via aninterface, such as a video adapter 48. In addition to the monitor,computers typically include other peripheral output devices (not shown),such as speakers, printers, and haptic devices that provide tactileand/or other types physical feedback (e.g., a force feed back gamecontroller).

The input devices described above are operable to receive user input andselections. Together the input and display devices may be described asproviding a user interface. The input devices may be used to receiveinformation from the patient 230, the support person 330, the caregiver332, and the like. The user interface may be used to display messages(e.g., notifications and alters) to the patient 230, the support person330, the caregiver 332, and the like.

The computing device 12 may operate in a networked environment usinglogical connections to one or more remote computers, such as remotecomputer 49. These logical connections are achieved by a communicationdevice coupled to or a part of the computing device 12 (as the localcomputer). Implementations are not limited to a particular type ofcommunications device. The remote computer 49 may be another computer, aserver, a router, a network PC, a client, a memory storage device, apeer device or other common network node, and typically includes many orall of the elements described above relative to the computing device 12.The remote computer 49 may be connected to a memory storage device 50.The logical connections depicted in FIG. 10 include a local-area network(LAN) 51 and a wide-area network (WAN) 52. Such networking environmentsare commonplace in offices, enterprise-wide computer networks, intranetsand the Internet.

Those of ordinary skill in the art will appreciate that a LAN may beconnected to a WAN via a modem using a carrier signal over a telephonenetwork, cable network, cellular network, or power lines. Such a modemmay be connected to the computing device 12 by a network interface(e.g., a serial or other type of port). Further, many laptop computersmay connect to a network via a cellular data modem.

When used in a LAN-networking environment, the computing device 12 isconnected to the local area network 51 through a network interface oradapter 53, which is one type of communications device. When used in aWAN-networking environment, the computing device 12 typically includes amodem 54, a type of communications device, or any other type ofcommunications device for establishing communications over the wide areanetwork 52, such as the Internet. The modem 54, which may be internal orexternal, is connected to the system bus 23 via the serial portinterface 46. In a networked environment, program modules depictedrelative to the personal computing device 12, or portions thereof, maybe stored in the remote computer 49 and/or the remote memory storagedevice 50. It is appreciated that the network connections shown areexemplary and other means of and communications devices for establishinga communications link between the computers may be used.

The computing device 12 and related components have been presentedherein by way of particular example and also by abstraction in order tofacilitate a high-level view of the concepts disclosed. The actualtechnical design and implementation may vary based on particularimplementation while maintaining the overall nature of the conceptsdisclosed.

The memory of the database server 370 stores computer executableinstructions that when executed by one or more processors cause the oneor more processors to perform all or portions of the methods 700, 750,800, and/or 1100.

The memory 410 of the device 10 stores processor executable instructionsthat when executed by the processor 435 cause the processor to performall or portions of the methods 500, 600, 650, 750, 800, and/or 1100.

Any of the instructions described above, including the instructions ofstored by the memory of the database server 370 and in the memory 410 ofthe device 10, may be stored on one or more non-transitorycomputer-readable media.

The foregoing described embodiments depict different componentscontained within, or connected with, different other components. It isto be understood that such depicted architectures are merely exemplary,and that in fact many other architectures can be implemented whichachieve the same functionality. In a conceptual sense, any arrangementof components to achieve the same functionality is effectively“associated” such that the desired functionality is achieved. Hence, anytwo components herein combined to achieve a particular functionality canbe seen as “associated with” each other such that the desiredfunctionality is achieved, irrespective of architectures or intermedialcomponents. Likewise, any two components so associated can also beviewed as being “operably connected,” or “operably coupled,” to eachother to achieve the desired functionality.

While particular embodiments of the present invention have been shownand described, it will be obvious to those skilled in the art that,based upon the teachings herein, changes and modifications may be madewithout departing from this invention and its broader aspects and,therefore, the appended claims are to encompass within their scope allsuch changes and modifications as are within the true spirit and scopeof this invention. Furthermore, it is to be understood that theinvention is solely defined by the appended claims. It will beunderstood by those within the art that, in general, terms used herein,and especially in the appended claims (e.g., bodies of the appendedclaims) are generally intended as “open” terms (e.g., the term“including” should be interpreted as “including but not limited to,” theterm “having” should be interpreted as “having at least,” the term“includes” should be interpreted as “includes but is not limited to,”etc.). It will be further understood by those within the art that if aspecific number of an introduced claim recitation is intended, such anintent will be explicitly recited in the claim, and in the absence ofsuch recitation no such intent is present. For example, as an aid tounderstanding, the following appended claims may contain usage of theintroductory phrases “at least one” and “one or more” to introduce claimrecitations. However, the use of such phrases should not be construed toimply that the introduction of a claim recitation by the indefinitearticles “a” or “an” limits any particular claim containing suchintroduced claim recitation to inventions containing only one suchrecitation, even when the same claim includes the introductory phrases“one or more” or “at least one” and indefinite articles such as “a” or“an” (e.g., “a” and/or “an” should typically be interpreted to mean “atleast one” or “one or more”); the same holds true for the use ofdefinite articles used to introduce claim recitations. In addition, evenif a specific number of an introduced claim recitation is explicitlyrecited, those skilled in the art will recognize that such recitationshould typically be interpreted to mean at least the recited number(e.g., the bare recitation of “two recitations,” without othermodifiers, typically means at least two recitations, or two or morerecitations).

Accordingly, the invention is not limited except as by the appendedclaims.

The invention claimed is:
 1. A system for use with an external deviceand a patient monitoring device worn on a limb of a patient, at leastone of the external device and the patient monitoring device comprisinga display device, the external device and the patient monitoring deviceeach being connected to the system by at least one network, the patientmonitoring device being operable to collect at least one measurement ofa distance around the patient's limb and transmit the at least onemeasurement of the distance around the patient's limb to the system viathe at least one network, the system comprising: one or more processors;one or more storage devices connected to the one or more processors,each of the one or more storage devices storing at least one of data andinstructions, the data comprising a threshold amount and a first modelof the patient's limb comprising a first circumference measurementassociated with a selected location along the patient's limb, theinstructions being executable by the one or more processors and whenexecuted thereby implementing a method comprising: comparing the atleast one measurement of the distance around the patient's limb with thefirst model of the patient's limb, determining whether the distancearound the patient's limb has increased based on the comparison, if theone or more processors determine the distance around the patient's limbhas increased, the method further comprising: determining a secondcircumference measurement associated with the selected location alongthe patient's limb based on the at least one measurement of the distancearound the patient's limb, determining whether the second circumferencemeasurement is greater than the first circumference measurement by morethan the threshold amount, and sending a first message over the at leastone network to at least one of the external device and the patientmonitoring device for display thereby on the display device when the oneor more processors determine the second circumference measurement isgreater than the first circumference measurement by more than thethreshold amount.
 2. The system of claim 1, wherein the method furthercomprises: determining more than a threshold amount of time has elapsedsince the system received the at least one measurement of the distancearound the patient's limb; and sending a second message over the atleast one network to at least one of the external device and the patientmonitoring device for display thereby on the display device when the oneor more processors determine more than a threshold amount of time haselapsed since the system received the at least one measurement of thedistance around the patient's limb, the second message indicating thesystem is not receiving measurements from the patient monitoring device.3. The system of claim 1, for use with the patient monitoring devicebeing operable to execute instructions received from the one or moreprocessors, wherein the method further comprises: instructing thepatient monitoring device to collect the at least one measurement of thedistance around the patient's limb and transmit the at least onemeasurement of the distance around the patient's limb to the system. 4.The system of claim 1, for use with the patient monitoring device beingoperable to collect an alignment measurement, and transmit the alignmentmeasurement to the system via the at least one network, wherein the datafurther comprises an expected alignment value, and the method furthercomprises: comparing the alignment measurement to the expected alignmentvalue; determining the patient monitoring device was not properlypositioned on the patient's limb when the alignment measurement differsfrom the expected alignment value by more than a predetermined amount;and sending a second message over the at least one network to at leastone of the external device and the patient monitoring device for displaythereby on the display device when the one or more processors determinethe patient monitoring device was not properly positioned on thepatient's limb.
 5. The system of claim 1, for use with the patientmonitoring device being operable to collect a first distance measurementof a first distance around the patient's limb and a second distancemeasurement of a second distance around the patient's limb, wherein thedata further comprises a differential threshold, and the method furthercomprises: determining a differential value by subtracting one of thefirst and second distance measurements from the other, determiningwhether the differential value is greater than the differentialthreshold; and if the one or more processors determine the differentialvalue is greater than the differential threshold, sending a secondmessage over the at least one network to at least one of the externaldevice and the patient monitoring device for display thereby on thedisplay device, the second message comprising at least one of anindication indicating the patient monitoring device is improperlypositioned on the patient's limb and a request requesting repositioningof the patient monitoring device on the patient's limb.
 6. The system ofclaim 1, for use with the patient monitoring device being operable tocollect a first distance measurement of a first distance around thepatient's limb and a second distance measurement of a second distancearound the patient's limb, the second distance measurement having beencollected at a predetermined distance from the first distancemeasurement along the patient's limb, the patient monitoring devicebeing further operable to transmit orientation information to the systemvia the at least one network, the orientation information identifyingthe orientation of the patient monitoring device when the first andsecond distance measurements were collected by the patient monitoringdevice, wherein the first model comprises a first minimum circumference,and the method further comprises: determining a differential value bysubtracting the first distance measurement from the second distancemeasurement; determining the orientation of the patient monitoringdevice based on the orientation information; identifying first andsecond measurement positions on the patient's limb relative to the firstminimum circumference whereat the first and second distancemeasurements, respectively, were collected by the patient monitoringdevice, the first and second measurement positions being identifiedbased on the differential value and the orientation of the patientmonitoring device when the first and second distance measurements werecollected by the patient monitoring device; determining a first modeldistance around the patient's limb at a first position in the firstmodel corresponding to the first measurement position on the patient'slimb, wherein comparing the at least one measurement of the distancearound the patient's limb with the first model of the patient's limbcomprises comparing the first distance measurement with the first modeldistance, and determining whether the distance around the patient's limbhas increased based on the comparison comprises determining the distancearound the patient's limb has increased when the first distancemeasurement is greater than the first model distance.
 7. The system ofclaim 6, wherein the first model has a first portion extending away fromthe first minimum circumference in a first direction and a secondportion extending away from the first minimum circumference in adirection opposite the first direction, and identifying the first andsecond measurement positions based on the differential value and theorientation of the patient monitoring device when the first and seconddistance measurements were collected by the patient monitoring devicecomprises: identifying in which of the first and second portions of thefirst model the first and second measurement positions are located basedon whether the first distance measurement is larger than the seconddistance measurement, and the orientation of the patient monitoringdevice when the first and second distance measurements were collected bythe patient monitoring device; and identifying the first position and asecond position in the identified portion of the first model, the firstposition being spaced apart from the second position by thepredetermined distance along the patient's limb, the first modelidentifying the first model distance at the first position and a secondmodel distance at the second position, a differential value calculatedby subtracting the first model distance from the second model distancebeing substantially identical to the differential value of the first andsecond distance measurements.
 8. The system of claim 1, wherein thefirst model comprises a minimum circumference, and the firstcircumference measurement associated with the selected location alongthe patient's limb is the minimum circumference of the first model. 9.The system of claim 8, wherein determining the second circumferencemeasurement based on the at least one measurement of the distance aroundthe patient's limb comprises: creating a second model of the patient'slimb based on the first model, the second model comprising a minimumcircumference, the second circumference measurement being the minimumcircumference of the second model.
 10. The system of claim 9, whereinthe first model comprises a first contoured line identifying a distancearound the patient's limb for each position along a portion of thepatient's limb, and the second model comprises a second contoured linesubstantially identical to the first contoured line but shifted relativeto the first contoured line by a difference between the secondcircumference measurement and the first circumference measurement. 11.The system of claim 10, wherein the first and second contoured lineseach have a parabolic shape.
 12. The system of claim 1, wherein themethod further comprises: receiving the threshold amount and patientinstructions associated with the threshold amount from the externaldevice over the at least one network; and sending the patientinstructions with the first message over the at least one network to theat least one of the external device and the patient monitoring devicefor display thereby on the display device when the one or moreprocessors determine the second circumference measurement is greaterthan the first circumference measurement by more than the thresholdamount.
 13. The system of claim 1, wherein the method further comprises:constructing the first model of the patient's limb from a plurality ofmeasurements of the distance around the patient's limb collected at aplurality of locations along the patient's limb.
 14. The system of claim1, wherein the first model comprises a parabola and the method furthercomprises performing a curve fitting operation on a plurality ofmeasurements of the distance around the patient's limb collected at aplurality of locations along the patient's limb to generate the firstmodel.
 15. The system of claim 1, for use with the patient monitoringdevice being operable to collect a patient activity log, and transmitthe patient activity log to the system via the at least one network,wherein the data further comprises an activity threshold, and the methodfurther comprises: determining an amount of activity based on thepatient activity log; determining whether the amount of activity isbelow the activity threshold; and sending a second message over the atleast one network to at least one of the external device and the patientmonitoring device for display thereby on the display device when the oneor more processors determine the amount of activity is below theactivity threshold.
 16. The system of claim 1, wherein the first messagecomprises instructions to be executed by the patient.
 17. The system ofclaim 16, wherein the instructions comprise a predefined treatment plan.18. The system of claim 17, wherein the predefined treatment plancomprises an instruction to modify a dosage of at least one medication.19. A method for use with a patient's limb, a threshold amount, and afirst model of the patient's limb, the first model comprising a firstcircumference measurement associated with a selected location along thepatient's limb, the method comprising: receiving, by a computing system,at least one measurement of a distance around the patient's limbtransmitted by a patient monitoring device configured to collect andtransmit the at least one measurement to the computing system;comparing, by the computing system, the at least one measurement of thedistance around the patient's limb with the first model of the patient'slimb; and determining, by the computing system, whether the distancearound the patient's limb has increased based on the comparison, whenthe computing system determines the distance around the patient's limbhas increased, the method further comprises: determining, by thecomputing system, a second circumference measurement associated with theselected location along the patient's limb based on the at least onemeasurement of the distance around the patient's limb, determining, bythe computing system, whether the second circumference measurement isgreater than the first circumference measurement by more than thethreshold amount, and sending, by the computing system, a first messageto at least one computing device operated by at least one of thepatient, a caregiver, and a support person when the second circumferencemeasurement is greater than the first circumference measurement by morethan the threshold amount.
 20. The method of claim 19, furthercomprising: obtaining, by the computing system, an alignment measurementfrom the patient monitoring device; comparing, by the computing system,the alignment measurement to an expected alignment value; determining,by the computing system, the patient monitoring device was not properlypositioned on the patient's limb when the alignment measurement differsfrom the expected alignment value by more than a predetermined amount;and sending, by the computing system, a second message to the at leastone computing device operated by the at least one of the patient, thecaregiver, and the support person when the computing system determinesthe patient monitoring device was not properly positioned on thepatient's limb.
 21. The method of claim 19, wherein the at least onemeasurement of the distance around the patient's limb comprises a firstdistance measurement of a first distance around the patient's limb and asecond distance measurement of a second distance around the patient'slimb, and the method further comprises: determining, by the computingsystem, a differential value by subtracting one of the first and seconddistance measurements from the other, determining, by the computingsystem, whether the differential value is greater than a differentialthreshold, and if the differential value is greater than thedifferential threshold, sending, by the computing system, a secondmessage to the at least one computing device operated by the at leastone of the patient, the caregiver, and the support person, the secondmessage comprising at least one of an indication indicating the patientmonitoring device is improperly positioned on the patient's limb and arequest requesting repositioning of the patient monitoring device on thepatient's limb.
 22. The method of claim 19, wherein the first modelcomprises a first minimum circumference, the at least one measurement ofthe distance around the patient's limb comprises a first distancemeasurement of a first distance around the patient's limb and a seconddistance measurement of a second distance around the patient's limb, thesecond distance measurement having been collected at a predetermineddistance from the first distance measurement along the patient's limb,and the method further comprises: receiving, by the computing system,orientation information from the patient monitoring device identifyingthe orientation of the patient monitoring device when the first andsecond distance measurements were collected by the patient monitoringdevice, determining, by the computing system, a differential value bysubtracting the first distance measurement from the second distancemeasurement; determining, by the computing system, the orientation ofthe patient monitoring device based on the orientation information;identifying, by the computing system, first and second measurementpositions on the patient's limb relative to the first minimumcircumference whereat the first and second distance measurements,respectively, were collected by the patient monitoring device, the firstand second measurement positions being identified based on thedifferential value and the orientation of the patient monitoring devicewhen the first and second distance measurements were collected by thepatient monitoring device; and determining, by the computing system, afirst model distance around the patient's limb at a first position inthe first model corresponding to the first measurement position on thepatient's limb, wherein comparing the at least one measurement of thedistance around the patient's limb with the first model of the patient'slimb comprises comparing the first distance measurement with the firstmodel distance, and determining whether the distance around thepatient's limb has increased based on the comparison comprisesdetermining the distance around the patient's limb has increased whenthe first distance measurement is greater than the first model distance.23. The method of claim 22, wherein the first model has a first portionextending away from the first minimum circumference in a first directionand a second portion extending away from the first minimum circumferencein a direction opposite the first direction, and identifying the firstand second measurement positions based on the differential value and theorientation of the patient monitoring device when the first and seconddistance measurements were collected by the patient monitoring devicecomprises: identifying in which of the first and second portions of thefirst model the first and second measurement positions are located basedon whether the first distance measurement is larger than the seconddistance measurement, and the orientation of the patient monitoringdevice when the first and second distance measurements were collected bythe patient monitoring device; and identifying the first position and asecond position in the identified portion of the first model, the firstposition being spaced apart from the second position by thepredetermined distance along the patient's limb, the first modelidentifying the first model distance at the first position and a secondmodel distance at the second position, a differential value calculatedby subtracting the first model distance from the second model distancebeing substantially identical to the differential value of the first andsecond distance measurements.
 24. The method of claim 19 for use withthe first model comprising a minimum circumference, wherein the firstcircumference measurement associated with the selected location alongthe patient's limb is the minimum circumference of the first model, anddetermining the second circumference measurement based on the at leastone measurement of the distance around the patient's limb comprisescreating a second model of the patient's limb based on the first model,the second model comprising a minimum circumference, the secondcircumference measurement being the minimum circumference of the secondmodel.
 25. The method of claim 24 for use with the first modelcomprising a first contoured line identifying a distance around thepatient's limb for each position along a portion of the patient's limb,wherein the second model comprises a second contoured line substantiallyidentical to the first contoured line but shifted relative to the firstcontoured line by a difference between the second circumferencemeasurement and the first circumference measurement.
 26. The method ofclaim 19, further comprising: obtaining, by the computing system,patient instructions associated with the threshold amount; and sending,by the computing system, the patient instructions with the first messageto the at least one computing device operated by the at least one of thepatient, the caregiver, and the support person when the secondcircumference measurement is greater than the first circumferencemeasurement by more than the threshold amount.
 27. The method of claim19, further comprising: obtaining, by the computing system, a pluralityof measurements of the distance around the patient's limb collected at aplurality of locations along the patient's limb; and constructing, bythe computing system, the first model of the patient's limb from theplurality of measurements of the distance around the patient's limb. 28.The method of claim 27, wherein constructing the first model comprisesperforming a curve fitting operation on the plurality of measurements ofthe distance around the patient's limb.
 29. The method of claim 19,further comprising: obtaining, by the computing system, a patientactivity log; determining, by the computing system, an amount ofactivity based on the patient activity log; determining, by thecomputing system, whether the amount of activity is below an activitythreshold; and sending, by the computing system, a second message to theat least one computing device operated by the at least one of thepatient, the caregiver, and the support person when the amount ofactivity is below the activity threshold.
 30. The method of claim 19,wherein the first message comprises instructions to be executed by theat least one of the patient, the caregiver, and the support person. 31.The method of claim 30, wherein the instructions comprise a predefinedtreatment plan.
 32. The method of claim 31, wherein the predefinedtreatment plan comprises an instruction to modify a dosage of at leastone medication.
 33. A system for use with a patient's limb, the systemcomprising: at least one computing device having a memory storinginstructions, a threshold amount, and a first model of the patient'slimb, the first model comprising a first circumference measurementassociated with a selected location along the patient's limb, the atleast one computing device comprising at least one processor configuredto execute the instructions, which when executed cause the system toperform a method comprising: receiving at least one measurement of thedistance around the patient's limb from a patient monitoring device, theat least one measurement of the distance around the patient's limbcomprising a first distance measurement of a first distance around thepatient's limb and a second distance measurement of a second distancearound the patient's limb; determining a differential value bysubtracting one of the first and second distance measurements from theother; determining whether the differential value is greater than adifferential threshold; when the differential value is greater than thedifferential threshold, sending a second message to a differentcomputing device, the second message comprising at least one of anindication and a request, the indication indicating the patientmonitoring device is improperly positioned on the patient's limb, therequest requesting repositioning of the patient monitoring device on thepatient's limb; comparing the at least one measurement of the distancearound the patient's limb with the first model of the patient's limb;and determining whether the distance around the patient's limb hasincreased based on the comparison, when the at least one computingdevice determines the distance around the patient's limb has increased,the method further comprises: determining a second circumferencemeasurement associated with the selected location along the patient'slimb based on the at least one measurement of the distance around thepatient's limb, determining whether the second circumference measurementis greater than the first circumference measurement by more than thethreshold amount, and sending a first message to the different computingdevice when the second circumference measurement is greater than thefirst circumference measurement by more than the threshold amount. 34.The system of claim 33, wherein the first model comprises a firstminimum circumference, the second distance measurement was collected ata predetermined distance from the first distance measurement along thepatient's limb, and the method further comprises: receiving orientationinformation from the patient monitoring device identifying theorientation of the patient monitoring device when the first and seconddistance measurements were collected by the patient monitoring device,determining the orientation of the patient monitoring device based onthe orientation information; identifying first and second measurementpositions on the patient's limb relative to the first minimumcircumference whereat the first and second distance measurements,respectively, were collected by the patient monitoring device, the firstand second measurement positions being identified based on thedifferential value and the orientation of the patient monitoring devicewhen the first and second distance measurements were collected by thepatient monitoring device; and determining a first model distance aroundthe patient's limb at a first position in the first model correspondingto the first measurement position on the patient's limb, whereincomparing the at least one measurement of the distance around thepatient's limb with the first model of the patient's limb comprisescomparing the first distance measurement with the first model distance,and determining whether the distance around the patient's limb hasincreased based on the comparison comprises determining the distancearound the patient's limb has increased when the first distancemeasurement is greater than the first model distance.
 35. The system ofclaim 34, wherein the first model has a first portion extending awayfrom the first minimum circumference in a first direction and a secondportion extending away from the first minimum circumference in adirection opposite the first direction, and identifying the first andsecond measurement positions based on the differential value and theorientation of the patient monitoring device when the first and seconddistance measurements were collected by the patient monitoring devicecomprises: identifying in which of the first and second portions of thefirst model the first and second measurement positions are located basedon whether the first distance measurement is larger than the seconddistance measurement, and the orientation of the patient monitoringdevice when the first and second distance measurements were collected bythe patient monitoring device; and identifying the first position and asecond position in the identified portion of the first model, the firstposition being spaced apart from the second position by thepredetermined distance along the patient's limb, the first modelidentifying the first model distance at the first position and a secondmodel distance at the second position, a differential value calculatedby subtracting the first model distance from the second model distancebeing substantially identical to the differential value of the first andsecond distance measurements.
 36. The system of claim 33 for use withthe first model comprising a minimum circumference, wherein the firstcircumference measurement associated with the selected location alongthe patient's limb is the minimum circumference of the first model, anddetermining the second circumference measurement based on the at leastone measurement of the distance around the patient's limb comprisescreating a second model of the patient's limb based on the first model,the second model comprising a minimum circumference, the secondcircumference measurement being the minimum circumference of the secondmodel.
 37. The system of claim 36 for use with the first modelcomprising a first contoured line identifying a distance around thepatient's limb for each position along a portion of the patient's limb,wherein the second model comprises a second contoured line substantiallyidentical to the first contoured line but shifted relative to the firstcontoured line by a difference between the second circumferencemeasurement and the first circumference measurement.
 38. The system ofclaim 33, wherein the method further comprises: obtaining patientinstructions associated with the threshold amount; and sending thepatient instructions with the first message to the different computingdevice when the second circumference measurement is greater than thefirst circumference measurement by more than the threshold amount. 39.The system of claim 33, wherein the method further comprises: obtaininga plurality of measurements of the distance around the patient's limbcollected at a plurality of locations along the patient's limb; andconstructing the first model of the patient's limb from the plurality ofmeasurements of the distance around the patient's limb.
 40. The systemof claim 39, wherein constructing the first model comprises performing acurve fitting operation on the plurality of measurements of the distancearound the patient's limb.
 41. The system of claim 33, wherein themethod further comprises: obtaining a patient activity log; determiningan amount of activity based on the patient activity log; determiningwhether the amount of activity is below an activity threshold; andsending a second message to the different computing device when theamount of activity is below the activity threshold.
 42. The system ofclaim 33, wherein the first message comprises instructions to beexecuted by at least one of the patient, a caregiver, and a supportperson.
 43. The system of claim 42, wherein the instructions comprise apredefined treatment plan.
 44. The system of claim 43, wherein thepredefined treatment plan comprises an instruction to modify a dosage ofat least one medication.
 45. A method for use with a threshold amountand a first model of a patient's limb comprising a first minimumcircumference, and a first circumference measurement, the firstcircumference measurement being associated with a selected locationalong the patient's limb, the method comprising: receiving, at acomputing system, at least one measurement of the distance around thepatient's limb from a patient monitoring device, the at least onemeasurement of the distance around the patient's limb comprising a firstdistance measurement of a first distance around the patient's limb, anda second distance measurement of a second distance around the patient'slimb, the second distance measurement having been collected at apredetermined distance from the first distance measurement along thepatient's limb; receiving, at the computing system, orientationinformation from the patient monitoring device identifying theorientation of the patient monitoring device when the first and seconddistance measurements were collected by the patient monitoring device;determining, by the computing system, a differential value bysubtracting the first distance measurement from the second distancemeasurement; determining, by the computing system, the orientation ofthe patient monitoring device based on the orientation information;identifying, by the computing system, first and second measurementpositions on the patient's limb relative to the first minimumcircumference whereat the first and second distance measurements,respectively, were collected by the patient monitoring device, the firstand second measurement positions being identified based on thedifferential value and the orientation of the patient monitoring devicewhen the first and second distance measurements were collected by thepatient monitoring device; determining, by the computing system, a firstmodel distance around the patient's limb at a first position in thefirst model corresponding to the first measurement position on thepatient's limb, comparing, by the computing system, the first distancemeasurement with the first model distance; and determining, by thecomputing system, the distance around the patient's limb has increasedwhen the first distance measurement is greater than the first modeldistance, if the computing system determines the distance around thepatient's limb has increased, the method further comprises: determining,by the computing system, a second circumference measurement associatedwith the selected location along the patient's limb based on the atleast one measurement of the distance around the patient's limb,determining, by the computing system, whether the second circumferencemeasurement is greater than the first circumference measurement by morethan the threshold amount, and sending, by the computing system, a firstmessage to a computing device associated with at least one of thepatient, a caregiver, and a support person when the second circumferencemeasurement is greater than the first circumference measurement by morethan the threshold amount.
 46. The method of claim 45, wherein the firstmodel has a first portion extending away from the first minimumcircumference in a first direction and a second portion extending awayfrom the first minimum circumference in a direction opposite the firstdirection, and identifying the first and second measurement positionsbased on the differential value and the orientation of the patientmonitoring device when the first and second distance measurements werecollected by the patient monitoring device comprises: identifying, bythe computing system, in which of the first and second portions of thefirst model the first and second measurement positions are located basedon whether the first distance measurement is larger than the seconddistance measurement, and the orientation of the patient monitoringdevice when the first and second distance measurements were collected bythe patient monitoring device; and identifying, by the computing system,the first position and a second position in the identified portion ofthe first model, the first position being spaced apart from the secondposition by the predetermined distance along the patient's limb, thefirst model identifying the first model distance at the first positionand a second model distance at the second position, a differential valuecalculated by subtracting the first model distance from the second modeldistance being substantially identical to the differential value of thefirst and second distance measurements.
 47. The method of claim 45,wherein the first circumference measurement associated with the selectedlocation along the patient's limb is the first minimum circumference ofthe first model, and determining the second circumference measurementbased on the at least one measurement of the distance around thepatient's limb comprises creating a second model of the patient's limbbased on the first model, the second model comprising a second minimumcircumference, the second circumference measurement being the secondminimum circumference of the second model.
 48. The method of claim 47for use with the first model comprising a first contoured lineidentifying a distance around the patient's limb for each position alonga portion of the patient's limb, wherein the second model comprises asecond contoured line substantially identical to the first contouredline but shifted relative to the first contoured line by a differencebetween the second circumference measurement and the first circumferencemeasurement.
 49. The method of claim 45, further comprising: obtaining,by the computing system, patient instructions associated with thethreshold amount; and sending, by the computing system, the patientinstructions with the first message to the computing device when thesecond circumference measurement is greater than the first circumferencemeasurement by more than the threshold amount.
 50. The method of claim45, further comprising: obtaining, by the computing system, a pluralityof measurements of the distance around the patient's limb collected at aplurality of locations along the patient's limb; and constructing, bythe computing system, the first model of the patient's limb from theplurality of measurements of the distance around the patient's limb. 51.The method of claim 50, wherein constructing the first model comprisesperforming a curve fitting operation on the plurality of measurements ofthe distance around the patient's limb.
 52. The method of claim 45,further comprising: obtaining, by the computing system, a patientactivity log; determining, by the computing system, an amount ofactivity based on the patient activity log; determining, by thecomputing system, whether the amount of activity is below an activitythreshold; and sending, by the computing system, a second message to thecomputing device when the amount of activity is below the activitythreshold.
 53. The method of claim 45, wherein the first messagecomprises instructions to be executed by at least one of the patient,the caregiver, and the support person.
 54. The method of claim 53,wherein the instructions comprise a predefined treatment plan.
 55. Themethod of claim 54, wherein the predefined treatment plan comprises aninstruction to modify a dosage of at least one medication.